{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T13:14:29Z","timestamp":1762521269662},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2008,11,13]],"date-time":"2008-11-13T00:00:00Z","timestamp":1226534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2010,8]]},"DOI":"10.1007\/s10845-008-0189-y","type":"journal-article","created":{"date-parts":[[2008,11,12]],"date-time":"2008-11-12T00:15:32Z","timestamp":1226448932000},"page":"403-421","source":"Crossref","is-referenced-by-count":18,"title":["Comparison of models created for the prediction of the mechanical properties of galvanized steel coils"],"prefix":"10.1007","volume":"21","author":[{"given":"J.","family":"Ordieres-Mer\u00e9","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F. J.","family":"Mart\u00ednez-de-Pis\u00f3n-Ascacibar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Gonz\u00e1lez-Marcos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I.","family":"Ortiz-Marcos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2008,11,13]]},"reference":[{"key":"189_CR1","doi-asserted-by":"crossref","first-page":"61","DOI":"10.4028\/www.scientific.net\/MSF.526.61","volume":"526","author":"E. Alegre","year":"2006","unstructured":"Alegre E., Barreiro J., C\u00e1ceres H., Hern\u00e1ndez L.K., Fern\u00e1ndez R.A., Castej\u00f3n-Limas M. (2006) Design of a computer vision system to estimate tool wearing. Materials Science Forum 526: 61\u201366","journal-title":"Materials Science Forum"},{"issue":"3","key":"189_CR2","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1016\/j.ymssp.2007.09.012","volume":"22","author":"F.J. Alonso","year":"2008","unstructured":"Alonso F.J., Salgado D.R. (2008) Analysis of the structure of vibration signals for tool wear detection. Mechanical Systems and Signal Processing 22(3): 735\u2013748","journal-title":"Mechanical Systems and Signal Processing"},{"issue":"6","key":"189_CR3","first-page":"101","volume":"29","author":"V.I. Astashkin","year":"1993","unstructured":"Astashkin V.I., Ivanik E.G. (1993) Analytical investigation of the process of formation of non-homogeneous composition state of a steel plate during rapid cooling. Fiziko-Khimicheskaya Mekhanika Materialov 29(6): 101\u2013104","journal-title":"Fiziko-Khimicheskaya Mekhanika Materialov"},{"issue":"9","key":"189_CR4","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.ijmachtools.2008.01.005","volume":"48","author":"J. Barreiro","year":"2008","unstructured":"Barreiro J., Castej\u00f3n M., Alegre E., Hern\u00e1ndez L.K. (2008) Use of descriptors based on moments from digital images for tool wear monitoring. International Journal of Machine Tools & Manufacture 48(9): 1005\u20131013. doi: 10.1016\/j.ijmachtools.2008.01.005","journal-title":"International Journal of Machine Tools & Manufacture"},{"key":"189_CR5","unstructured":"Black, P. E. (2005). \u201cbest-first search\u201d. In P. E. Black (Ed.), Dictionary of algorithms and data structures. Gaithersburg: U.S. National Institute of Standards and Technology."},{"issue":"4\u20135","key":"189_CR6","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.physrep.2005.10.009","volume":"424","author":"S. Boccaletti","year":"2006","unstructured":"Boccaletti S., Latora V., Moreno Y., Chavez M., Hwang D.-U. (2006) Complex networks: structure and dynamics. Physics Reports 424(4\u20135): 175\u2013308. doi: 10.1016\/j.physrep.2005.10.009","journal-title":"Physics Reports"},{"issue":"2","key":"189_CR7","first-page":"123","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman L. (1996) Bagging predictors. Machine Learning 24(2): 123\u2013140","journal-title":"Machine Learning"},{"issue":"12\u201313","key":"189_CR8","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1016\/j.ijmachtools.2007.04.001","volume":"47","author":"M. Castej\u00f3n","year":"2007","unstructured":"Castej\u00f3n M., Alegre E., Barreiro J., Hern\u00e1ndez L.K. (2007) On-line tool wear monitoring using geometric descriptors from digital images. International Journal of Machine Tools & Manufacture 47(12\u201313): 1847\u20131853. doi: 10.1016\/j.ijmachtools.2007.04.001","journal-title":"International Journal of Machine Tools & Manufacture"},{"issue":"2","key":"189_CR9","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1023\/B:DAMI.0000031630.50685.7c","volume":"9","author":"M. Castej\u00f3n-Limas","year":"2004","unstructured":"Castej\u00f3n-Limas M., Ordieres-Mer\u00e9 J.B., Mart\u00ednez-de-Pis\u00f3n-Ascac\u00edbar F.J., Vergara-Gonz\u00e1lez E.P. (2004) Outlier detection and data cleaning in multivariate non-normal samples: the PAELLA algorithm. Data Mining and Knowledge Discovery 9(2): 171\u2013187","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"3","key":"189_CR10","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1016\/j.dss.2005.10.013","volume":"42","author":"P.C. Chang","year":"2006","unstructured":"Chang P.C., Liu C.H., Wang Y.W. (2006) A hybrid model by clustering and evolving fuzzy rules for sale forecasting in printed circuit board industry. Decision Support Systems 42(3): 1254\u20131269. doi: 10.1016\/j.dss.2005.10.013","journal-title":"Decision Support Systems"},{"issue":"2","key":"189_CR11","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.asoc.2004.12.004","volume":"6","author":"P.C. Chang","year":"2006","unstructured":"Chang P.C., Warren L.T. (2006) Combing SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory. Applied Soft Computing 6(2): 198\u2013206. doi: 10.1016\/j.asoc.2004.12.004","journal-title":"Applied Soft Computing"},{"issue":"2","key":"189_CR12","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s10044-007-0088-4","volume":"11","author":"A. Ciampi","year":"2008","unstructured":"Ciampi A., Lechevallier Y., Castej\u00f3n-Limas M., Gonz\u00e1lez-Marcos A. (2008) Hierarchical clustering of sub-populations with a dissimilarity based on the likelihood ratio statistic: application to clustering massive data sets. Pattern Analysis & Applications 11(2): 199\u2013220. doi: 10.1007\/s10044-007-0088-4","journal-title":"Pattern Analysis & Applications"},{"issue":"8","key":"189_CR13","doi-asserted-by":"crossref","first-page":"1195","DOI":"10.2355\/isijinternational.47.1195","volume":"47","author":"S. Datta","year":"2007","unstructured":"Datta S., Pettersson F., Ganguly S., Sax\u00e9n H., Chakraborti N. (2007) Designing high strength multi-phase steel for improved strength-ductility balance using neural networks and multi-objective genetic algorithms. ISIJ International 47(8): 1195\u20131203","journal-title":"ISIJ International"},{"issue":"5","key":"189_CR14","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1007\/s10845-006-0026-0","volume":"17","author":"S. Deb","year":"2006","unstructured":"Deb S., Ghosh K., Paul S. (2006) A neural network based methodology for machining operations selection in computer-aided process planning for rotationally symmetrical parts. Journal of Intelligent Manufacturing 17(5): 557\u2013569. doi: 10.1007\/s10845-006-0026-0","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"5","key":"189_CR15","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1016\/j.tws.2006.04.008","volume":"44","author":"J.J. DelCoz D\u00edaz","year":"2006","unstructured":"DelCoz D\u00edaz J.J., Garc\u00eda Nieto P., Beteg\u00f3n C., Fern\u00e1ndez G. (2006a) Non-linear analysis of unbolted base plates by the FEM and experimental validation. Thin-Walled Structures 44(5): 529\u2013541","journal-title":"Thin-Walled Structures"},{"issue":"8\u20139","key":"189_CR16","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1016\/j.applthermaleng.2005.10.012","volume":"26","author":"J.J. DelCoz D\u00edaz","year":"2006","unstructured":"DelCoz D\u00edaz J.J., Garc\u00eda Nieto P.J., Mart\u00edn Rodr\u00edguez A., Lozano Mart\u00ednez-Luengas A., Beteg\u00f3n Biempica C. (2006b) Non- linear thermal analysis of light concrete hollow brick walls by the finite element method and experimental validation. Applied Thermal Engineering 26(8\u20139): 777\u2013786","journal-title":"Applied Thermal Engineering"},{"issue":"3","key":"189_CR17","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1007\/s10852-005-9004-3","volume":"4","author":"J.J. DelCoz D\u00edaz","year":"2005","unstructured":"DelCoz D\u00edaz J.J., Garc\u00eda Nieto P., Suarez Domiguez F.J. (2005) Numerical analysis of the behaviour of tooth intraradial posts by the finite element method. Journal of Mathematical Modelling and algorithms 4(3): 275\u2013287","journal-title":"Journal of Mathematical Modelling and algorithms"},{"key":"189_CR18","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.cam.2005.04.035","volume":"192","author":"J.J. DelCoz D\u00edaz","year":"2006","unstructured":"DelCoz D\u00edaz J.J., Garc\u00eda Nieto P.J., Suarez Dom\u00ednguez F.J. (2006c) Numerical analysis of pressure field on curved self-weighted metallic roofs due to the wind effect by the finite element method. Journal of Computational and Applied Mathematics 192: 40\u201350. doi: 10.1016\/j.cam.2005.04.035","journal-title":"Journal of Computational and Applied Mathematics"},{"issue":"1","key":"189_CR19","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/S0168-874X(02)00059-8","volume":"39","author":"J.J. DelCoz D\u00edaz","year":"2002","unstructured":"DelCoz D\u00edaz J.J., Rodr\u00edguez Maz\u00f3n F., Garcia Nieto P., Su\u00e1rez Dom\u00ednguez F. (2002) Design and finite element analysis of a wet circle cement rotary klin. Finite Elements in Analysis and Design 39(1): 17\u201342","journal-title":"Finite Elements in Analysis and Design"},{"issue":"-165","key":"189_CR20","doi-asserted-by":"crossref","first-page":"1500","DOI":"10.1016\/j.jmatprotec.2005.02.194","volume":"164","author":"L.A. Dobrza\u0144ski","year":"2005","unstructured":"Dobrza\u0144ski L.A., Kowalski M., Madejski J. (2005) Methodology of the mechanical properties prediction for the metallurgical products from the engineering steels using the artificial intelligence methods. Journal of Materials Processing Technology 164(\u2212165): 1500\u20131509","journal-title":"Journal of Materials Processing Technology"},{"issue":"4","key":"189_CR21","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1080\/00018730110112519","volume":"51","author":"S.N. Dorogovtsev","year":"2002","unstructured":"Dorogovtsev S.N., Mendes J.F.F. (2002) Evolution of networks. Advances in Physics 51(4): 1079\u20131187","journal-title":"Advances in Physics"},{"key":"189_CR22","first-page":"45","volume":"45","author":"A. Gonz\u00e1lez-Marcos","year":"2008","unstructured":"Gonz\u00e1lez-Marcos A., Castej\u00f3n-Limas M., Alba-El\u00edas F., Torre V. (2008) Development of neural network-based models to predict mechanical properties of hot dip galvanised steel coils. Revista Espa\u00f1ola de Metalurgia 45: 45\u201353","journal-title":"Revista Espa\u00f1ola de Metalurgia"},{"issue":"8","key":"189_CR23","doi-asserted-by":"crossref","first-page":"828","DOI":"10.1080\/09511920601108808","volume":"20","author":"A. Gonzalez-Marcos","year":"2007","unstructured":"Gonzalez-Marcos A., Pernia-Espinoza A.V., Alba-El\u00edas F., Garc\u00eda-Forcada A. (2007) A neural network-based approach for optimising rubber extrusion lines. International Journal of Computer Integrated Manufacturing 20(8): 828\u2013837","journal-title":"International Journal of Computer Integrated Manufacturing"},{"issue":"1","key":"189_CR24","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1007670802811","volume":"41","author":"E. Frank","year":"2000","unstructured":"Frank E., Trigg L., Holmes G., Witten I.H. (2000) Technical note: Naive Bayes for regression. Machine Learning 41(1): 5\u201325","journal-title":"Machine Learning"},{"issue":"1","key":"189_CR25","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y. Freund","year":"1997","unstructured":"Freund Y., Schapire R.E. (1997) A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55(1): 119\u2013139","journal-title":"Journal of Computer and System Sciences"},{"issue":"2","key":"189_CR26","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1214\/aos\/1016218223","volume":"28","author":"J. Friedman","year":"2000","unstructured":"Friedman J., Hastie T., Tibshirani R. (2000) Additive logistic regression: a statistical view of boosting. Annals of Statistics 28(2): 337\u2013407","journal-title":"Annals of Statistics"},{"key":"189_CR27","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/0893-6080(89)90003-8","volume":"2","author":"K. Funahashi","year":"1989","unstructured":"Funahashi K. (1989) On the approximate realization of continuous mappings by neural networks. Neural Networks 2: 183\u2013192","journal-title":"Neural Networks"},{"key":"189_CR28","volume-title":"Neural networks, a comprehensive foundation","author":"S. Haykin","year":"1999","unstructured":"Haykin S. (1999) Neural networks, a comprehensive foundation (2nd ed.). Prentice Hall, New Jersey","edition":"2"},{"issue":"1","key":"189_CR29","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1109\/59.910780","volume":"16","author":"H.S. Hippert","year":"2001","unstructured":"Hippert H.S., Pedreira C.E., Souza R.C. (2001) Neural networks for short-term load forecasting: a review and evaluation. IEEE Transactions on Power Systems 16(1): 44\u201355","journal-title":"IEEE Transactions on Power Systems"},{"key":"189_CR30","unstructured":"Hornik, K. (2006). The R FAQ, http:\/\/www.r-prject.org . ISBN 3-900051-08-9."},{"key":"189_CR31","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/0893-6080(89)90020-8","volume":"2","author":"K. Hornik","year":"1989","unstructured":"Hornik K., Stinchcombe M., White H. (1989) Multilayer feedforward networks are universal approximators. Neural Networks 2: 359\u2013366","journal-title":"Neural Networks"},{"issue":"4","key":"189_CR32","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1179\/174328106X101484","volume":"33","author":"D.M. Jones","year":"2006","unstructured":"Jones D.M., Watton J., Brown K.J. (2006) Prediction and validation of through coil final mechanical properties of high strength hot rolled coil using artificial neural networks. Ironmaking and Steelmaking 33(4): 315\u2013322","journal-title":"Ironmaking and Steelmaking"},{"issue":"1","key":"189_CR33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1243\/14644207JMDA113","volume":"221","author":"D.M. Jones","year":"2007","unstructured":"Jones D.M., Watton J., Brown K.J. (2007) Comparison of black-, white-, and grey-box models to predict ultimate tensile strength of high-strength hot rolled coils at the Port Talbot hot strip mill. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications 221(1): 1\u20139","journal-title":"Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications"},{"issue":"1\u20133","key":"189_CR34","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/S0924-0136(01)00692-6","volume":"113","author":"D.J. Kim","year":"2001","unstructured":"Kim D.J., Kim Y.C., Kim B.M. (2001) Optimization of the irregular shape rolling process with an artificial neural network. Journal of Materials Processing Technology 113(1\u20133): 131\u2013135","journal-title":"Journal of Materials Processing Technology"},{"issue":"1","key":"189_CR35","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/s10845-005-5512-2","volume":"17","author":"A. Kumagai","year":"2006","unstructured":"Kumagai A., Liu T.-I., Hozian P. (2006) Control of shape memory alloy actuators with a neuro-fuzzy feedforward model element. Journal of Intelligent Manufacturing 17(1): 45\u201356","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"1","key":"189_CR36","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/S0924-0136(02)00278-9","volume":"127","author":"J. Kusiak","year":"2002","unstructured":"Kusiak J., Kuziak R. (2002) Modelling of microstructure and mechanical properties of steel using the artificial neural network. Journal of Materials Processing Technology 127(1): 115\u2013121","journal-title":"Journal of Materials Processing Technology"},{"issue":"2","key":"189_CR37","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s10845-008-0076-6","volume":"19","author":"I. Kutschenreiter-Praszkiewicz","year":"2008","unstructured":"Kutschenreiter-Praszkiewicz I. (2008) Application of artificial neural network for determination of standard time in machining. Journal of Intelligent Manufacturing 19(2): 233\u2013240","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"-81","key":"189_CR38","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/S0924-0136(98)00206-4","volume":"80","author":"J. Larkiola","year":"1998","unstructured":"Larkiola J., Myllykoski P., Korhonen A.S., Cser L. (1998) The role of neural networks in the optimisation of rolling processes. Journal of Materials Processing Technology 80(\u221281): 16\u201323","journal-title":"Journal of Materials Processing Technology"},{"issue":"1\u20134","key":"189_CR39","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1016\/0924-0136(96)02358-8","volume":"60","author":"J. Larkiola","year":"1996","unstructured":"Larkiola J., Myllykoski P., Nylander J., Korhonen A.S. (1996) Prediction of rolling force in cold rolling by using physical models and neural computing. Journal of Materials Processing Technology 60(1\u20134): 381\u2013386","journal-title":"Journal of Materials Processing Technology"},{"issue":"8","key":"189_CR40","first-page":"59","volume":"19","author":"F.-F. Li","year":"2007","unstructured":"Li F.-F., Zhao Y.-K., Yu H. (2007) Diagonal recurrent neural network and its application in mechanical property prediction of 82B steel. Journal of Iron and Steel Research 19(8): 59\u201362","journal-title":"Journal of Iron and Steel Research"},{"issue":"4","key":"189_CR41","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1179\/174328106X101565","volume":"33","author":"F.J. Mart\u00ednezDe Pis\u00f3n","year":"2006","unstructured":"Mart\u00ednezDe Pis\u00f3n F.J., Alba El\u00edas F., Castejo\u00edn Limas M., Gonz\u00e1lez Rodr\u00edguez J.A. (2006) Improvement and optimisation of hot dip galvanising line using neural networks and genetic algorithms. Ironmaking and Steelmaking 33(4): 344\u2013352","journal-title":"Ironmaking and Steelmaking"},{"key":"189_CR42","doi-asserted-by":"crossref","DOI":"10.1002\/0471725293","volume-title":"Discriminant analysis and statistical pattern recognition","author":"G.J. Mclachlan","year":"1992","unstructured":"Mclachlan G.J. (1992) Discriminant analysis and statistical pattern recognition. Wiley, New York"},{"issue":"5","key":"189_CR43","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1081\/AMP-200055140","volume":"20","author":"A. Mukhopadhyay","year":"2005","unstructured":"Mukhopadhyay A., Iqbal A. (2005) Prediction of mechanical properties of hot rolled, low-carbon steel strips using artificial neural network. Materials and Manufacturing Processes 20(5): 793\u2013812","journal-title":"Materials and Manufacturing Processes"},{"key":"189_CR44","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1179\/030192304225012060","volume":"31","author":"J.B. Ordieres-Mer\u00e9","year":"2004","unstructured":"Ordieres-Mer\u00e9 J.B., Gonz\u00e1lez-Marcos A., Gonz\u00e1lez J.A., Lobato-Rubio V. (2004) Estimation of mechanical properties of steel strip in hot dip galvanising lines. Ironmaking and Steelmaking 31: 43\u201350","journal-title":"Ironmaking and Steelmaking"},{"issue":"5","key":"189_CR45","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1080\/10426910600599356","volume":"21","author":"D. Pal","year":"2006","unstructured":"Pal D., Datta A., Sahay S.S. (2006) An efficient model for batch annealing using a neural network. Materials and Manufacturing Processes 21(5): 567\u2013572","journal-title":"Materials and Manufacturing Processes"},{"issue":"2","key":"189_CR46","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1016\/j.asoc.2007.07.003","volume":"8","author":"S.S. Panda","year":"2008","unstructured":"Panda S.S., Chakraborty D., Pal S.K. (2008) Flank wear prediction in drilling using back propagation neural network and radial basis function network. Applied Soft Computing 8(2): 858\u2013871","journal-title":"Applied Soft Computing"},{"issue":"11","key":"189_CR47","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1002\/srin.200506102","volume":"76","author":"I. Parezanovi\u0107","year":"2005","unstructured":"Parezanovi\u0107 I., Spiegel M. (2005) Selective oxidation and surface segregation in high strength steels during short term annealing in H2-N2\u2014Influence of B on surface chemistry. Steel Research International 76(11): 832\u2013839","journal-title":"Steel Research International"},{"issue":"5","key":"189_CR48","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1179\/174328105X28829","volume":"32","author":"A. Pern\u00eda-Espinoza","year":"2005","unstructured":"Pern\u00eda-Espinoza A., Castej\u00f3n-Limas M., Gonz\u00e1lez-Marcos A., Lobato-Rubio V. (2005a) Steel annealing furnace robust neural network model. Ironmaking and Steelmaking 32(5): 418\u2013426","journal-title":"Ironmaking and Steelmaking"},{"key":"189_CR49","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.neunet.2004.11.007","volume":"18","author":"A.V. Pern\u00eda-Espinoza","year":"2005","unstructured":"Pern\u00eda-Espinoza A.V., Ordieres-Mer\u00e9 J.B., Mart\u00ednez-de-Pis\u00f3n F.J., Gonz\u00e1lez-Marcos A. (2005b) Tao-robust backpropagation learning algorithm. Neural Networks 18: 191\u2013204","journal-title":"Neural Networks"},{"issue":"4","key":"189_CR50","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1214\/ss\/1030037960","volume":"12","author":"S. Portnoy","year":"1997","unstructured":"Portnoy S., Koenker R. (1997) The Gaussian hare and the Laplacian tortoise: Computability of squared-error versus absolute-error estimators. Statistical Science 12(4): 279\u2013300","journal-title":"Statistical Science"},{"issue":"2","key":"189_CR51","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.jcsr.2004.07.007","volume":"61","author":"M.B. Prendes Gero","year":"2005","unstructured":"Prendes Gero M.B., Bello Garc\u00eda A., DelCoz D\u00edaz J.J. (2005) A modified elitist genetic algorithm applied to the design optimization of complex steel structures. Journal of Constructional Steel Research 61(2): 265\u2013280","journal-title":"Journal of Constructional Steel Research"},{"issue":"12","key":"189_CR52","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1016\/j.jcsr.2006.02.005","volume":"62","author":"M.B. Prendes Gero","year":"2006","unstructured":"Prendes Gero M.B., Bello Garc\u00eda A., DelCoz D\u00edaz J.J. (2006) Design optimization of 3D steel structures: genetic algorithm vs. classical techniques. Journal of Constructional Steel Research 62(12): 1303\u20131309","journal-title":"Journal of Constructional Steel Research"},{"key":"189_CR53","unstructured":"Quinlan, J. R. (1992). Learning with continuous classes. In Proceedings of the Australian Joint Conference on Artificial Intelligence (pp. 343\u2013348). Singapore: World Scientific."},{"key":"189_CR54","doi-asserted-by":"crossref","unstructured":"Rooney, N., Patterson, D., Anand, S., & Tsymbal, A. (2004). Dynamic integration of regression models. Lecture notes in computer science (Vol. 3077, pp. 164\u2013173). Berlin: Springer-Verlag. ISBN 978-3-540-22144-9.","DOI":"10.1007\/978-3-540-25966-4_16"},{"key":"189_CR55","unstructured":"Shevade, S. K., Keerthi, S. S., Bhattacharyya, C., & Murthy, K. R. K. (1999). Improvements to SMO algorithm for SVM regression. Technical report CD-99-16. Control Division, Department of Mechanical and Production Engineering, National University of Singapore."},{"issue":"(special issue)","key":"189_CR56","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.jmatprotec.2004.09.037","volume":"157-158","author":"W. Sitek","year":"2004","unstructured":"Sitek W., Dobrza\u0144ski L.A., Zac\u0142ona J. (2004) The modelling of high-speed steels\u2019 properties using neural networks. Journal of Materials Processing Technology 157-158((special issue)): 245\u2013249","journal-title":"Journal of Materials Processing Technology"},{"issue":"(1\u20133","key":"189_CR57","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1016\/j.jmatprotec.2004.04.376","volume":"153-154","author":"J.S. Son","year":"2004","unstructured":"Son J.S., Lee D.M., Kim I.S., Choi S.K. (2004) A study on genetic algorithm to select architecture of a optimal neural network in the hot rolling process. Journal of Materials Processing Technology 153-154((1\u20133): 643\u2013648","journal-title":"Journal of Materials Processing Technology"},{"issue":"3","key":"189_CR58","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1016\/j.jmatprotec.2005.05.040","volume":"170","author":"Z. Sterjovski","year":"2005","unstructured":"Sterjovski Z., Nolan D., Carpenter K.R., Dunne D.P., Norrish J. (2005) Artificial neural networks for modelling the mechanical properties of steels in various applications. Journal of Materials Processing Technology 170(3): 536\u2013544","journal-title":"Journal of Materials Processing Technology"},{"key":"189_CR59","unstructured":"Uther, W. T. B., & Veloso, M. M. (1998). Tree based discretization for continuous state space reinforcement learning. In Proceedings of the National Conference on Artificial Intelligence, Madison, WI (pp. 769\u2013774). Menlo Park, CA: AAAI."},{"issue":"4","key":"189_CR60","first-page":"669","volume":"24","author":"D.-M. Wang","year":"2007","unstructured":"Wang D.-M., Li Q., Li H.-D. (2007) Quality prediction model and control of the metallic mechanical properties. Kongzhi Lilun Yu Yinyong\/Control Theory and Applications 24(4): 669\u2013673","journal-title":"Kongzhi Lilun Yu Yinyong\/Control Theory and Applications"},{"issue":"21","key":"189_CR61","doi-asserted-by":"crossref","first-page":"5095","DOI":"10.1080\/00207540500536913","volume":"45","author":"W.H. Wang","year":"2007","unstructured":"Wang W.H., Hong G.S., Wong Y.S., Zhu K.P. (2007) Sensor fusion for online tool condition monitoring in milling. International Journal of Production Research 45(21): 5095\u20135116","journal-title":"International Journal of Production Research"},{"key":"189_CR62","unstructured":"Wang, Y., & Witten, I. H. (1997). Induction of model trees for predicting continuous classes. In Proceedings of the Poster Papers of the European Conference on Machine Learning (pp. 128\u2013137). University of Economics, Faculty of Informatics and Statistics, Prague."},{"issue":"4","key":"189_CR63","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1002\/srin.199905621","volume":"70","author":"U. Weidig","year":"1999","unstructured":"Weidig U., Kaspar R., Pawelski O., Rasp W. (1999) Multiphase microstructure in steel bars produced by dieless drawing. Steel Research 70(4): 172\u2013177","journal-title":"Steel Research"},{"key":"189_CR64","unstructured":"Wikipedia. (2008). http:\/\/en.wikipedia.org\/wiki\/Support_vector_machine . Section External links. Software."},{"key":"189_CR65","doi-asserted-by":"crossref","first-page":"392","DOI":"10.2307\/2346786","volume":"22","author":"G.N. Wilkinson","year":"1973","unstructured":"Wilkinson G.N., Rogers C.E. (1973) Symbolic descriptions of factorial models for analysis of variance. Applied Statistics 22: 392\u2013399","journal-title":"Applied Statistics"},{"key":"189_CR66","volume-title":"Data mining: Practical machine learning tools and techniques","author":"I.H. Witten","year":"2005","unstructured":"Witten I.H., Frank E. (2005) Data mining: Practical machine learning tools and techniques (2nd. ed). Morgan Kaufmann, San Francisco","edition":"2"},{"issue":"11","key":"189_CR67","first-page":"621","volume":"6","author":"Yu.D. Zheleznov","year":"1976","unstructured":"Zheleznov Yu.D., Arutyunov I.E., Dolgova O.A., Kotsar S.L., Mukhin Yu.A., Chvilev V.V. (1976) Analysis of distribution curves of mechanical properties. Steel USSR, 6(11): 621\u2013623","journal-title":"Steel USSR,"},{"issue":"7","key":"189_CR68","first-page":"54","volume":"19","author":"H. Zheng","year":"2007","unstructured":"Zheng H., Gong D.-Y., Wang G.-D., Liu X.-H., Zhang P.-J. (2007) Software of predicting mechanical properties of strip steel by using BP networks. Journal of Iron and Steel Research 19(7): 54\u201357+62","journal-title":"Journal of Iron and Steel Research"},{"issue":"1","key":"189_CR69","first-page":"13","volume":"32","author":"Z. Zheng","year":"2000","unstructured":"Zheng Z. (2000) Constructing conjunctive attributes using production rules. Journal of Research and Practice in Information Technology 32(1): 13\u201338","journal-title":"Journal of Research and Practice in Information Technology"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-008-0189-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10845-008-0189-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-008-0189-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T02:11:43Z","timestamp":1559268703000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10845-008-0189-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,11,13]]},"references-count":69,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2010,8]]}},"alternative-id":["189"],"URL":"https:\/\/doi.org\/10.1007\/s10845-008-0189-y","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,11,13]]}}}