{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:43:40Z","timestamp":1761489820778,"version":"3.40.3"},"publisher-location":"Cham","reference-count":72,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319244976"},{"type":"electronic","value":"9783319244990"}],"license":[{"start":{"date-parts":[[2015,10,31]],"date-time":"2015-10-31T00:00:00Z","timestamp":1446249600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-24499-0_9","type":"book-chapter","created":{"date-parts":[[2015,10,30]],"date-time":"2015-10-30T11:26:26Z","timestamp":1446204386000},"page":"237-263","source":"Crossref","is-referenced-by-count":1,"title":["Multivariate Statistical and Computational Intelligence Techniques for Quality Monitoring of Production Systems"],"prefix":"10.1007","author":[{"given":"Tibor","family":"Kulcs\u00e1r","sequence":"first","affiliation":[]},{"given":"Barbara","family":"Farsang","sequence":"additional","affiliation":[]},{"given":"S\u00e1ndor","family":"N\u00e9meth","sequence":"additional","affiliation":[]},{"given":"J\u00e1nos","family":"Abonyi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,10,31]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.fuel.2012.03.045","volume":"98","author":"O Abbas","year":"2012","unstructured":"Abbas, O., et al.: PLS regression on spectroscopic data for the prediction of crude oil quality: API gravity and aliphatic\/aromatic ratio. Fuel 98, 5\u201314 (2012)","journal-title":"Fuel"},{"key":"9_CR2","first-page":"3","volume":"29","author":"J Abonyi","year":"2005","unstructured":"Abonyi, J., Feil, B.: Computational intelligence in data mining. Informatica 29, 3\u201312 (2005)","journal-title":"Informatica"},{"issue":"5","key":"9_CR3","doi-asserted-by":"publisher","first-page":"612","DOI":"10.1109\/TSMCB.2002.1033180","volume":"32","author":"J Abonyi","year":"2002","unstructured":"Abonyi, J., Babuska, R., Szeifert, F.: Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models. IEEE Trans. Syst. Man Cybern. B Cybern. 32(5), 612\u2013621 (2002)","journal-title":"IEEE Trans. Syst. Man Cybern. B Cybern."},{"key":"9_CR4","unstructured":"Alander, J.T., et al.: Process error detection using self-organizing feature maps, Artif. Neural Netw. 2, 1229\u20131232 (1991)"},{"key":"9_CR5","doi-asserted-by":"crossref","first-page":"3","DOI":"10.3233\/ICA-1999-6102","volume":"6","author":"E Alhoniemi","year":"1999","unstructured":"Alhoniemi, E., et al.: Process monitoring and modeling using the self-organizing map. Integr. Comput. Aided Eng. 6, 3\u201314 (1999)","journal-title":"Integr. Comput. Aided Eng."},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.patcog.2013.04.012","volume":"47","author":"CA Astudillo","year":"2014","unstructured":"Astudillo, C.A., Oommen, B.J.: Self-organizing maps whose topologies can be learned with adaptive binary search trees using conditional rotations. Pattern Recogn. 47, 96\u2013113 (2014)","journal-title":"Pattern Recogn."},{"issue":"7","key":"9_CR7","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1016\/j.fuel.2008.11.025","volume":"88","author":"X Bao","year":"2009","unstructured":"Bao, X., Dai, L.: Partial least squares with outlier detection in spectral analysis: a tool to predict gasoline properties. Fuel 88(7), 1216\u20131222 (2009)","journal-title":"Fuel"},{"issue":"2","key":"9_CR8","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/S0169-7439(98)00212-3","volume":"47","author":"Andr\u00e1s P Borosy","year":"1999","unstructured":"Borosy, A.P.: Quantitative composition-property modelling of rubber mixtures by utilizing artificial neural networks. Chemom. Intell. Lab. Syst. 47, 227\u2013238 (1998)","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"issue":"2","key":"9_CR9","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/S0959-1524(97)00047-4","volume":"8","author":"G Chen","year":"1998","unstructured":"Chen, G., McAvoy, T.J., Piovoso, M.J.: A multivariate statistical controller for on-line quality improvement. J. Process Control 8(2), 139\u2013149 (1998)","journal-title":"J. Process Control"},{"key":"9_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-0347-9","volume-title":"Fault Detection and Diagnosis in Industrial Systems","author":"LH Chiang","year":"2001","unstructured":"Chiang, L.H., Russel, E.L., Braatz, R.D.: Fault Detection and Diagnosis in Industrial Systems. Springer, London (2001)"},{"key":"9_CR67","unstructured":"CRISP-DM Cross Industry Standard Process for Data Mining (2000). \n                  http:\/\/en.wikipedia.org\/wiki\/Cross_Industry_Standard_Process_for_Data_Mining"},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1016\/j.jprocont.2004.02.004","volume":"14","author":"R Ergon","year":"2004","unstructured":"Ergon, R.: Informative PLS score-loading plots for process understanding and monitoring. J. Process Control 14, 889\u2013897 (2004)","journal-title":"J. Process Control"},{"key":"9_CR12","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.chemolab.2012.08.007","volume":"118","author":"K Fujiwara","year":"2012","unstructured":"Fujiwara, K., Sawada, H., Kano, M.: Input variable selection for PLS modeling using nearest correlation spectral clustering. Chemometr. Intell. Lab. Syst. 118, 109\u2013119 (2012)","journal-title":"Chemometr. Intell. Lab. Syst."},{"issue":"5","key":"9_CR13","doi-asserted-by":"publisher","first-page":"1530","DOI":"10.1016\/j.eswa.2012.08.069","volume":"40","author":"D Fustes","year":"2013","unstructured":"Fustes, D., et al.: SOM ensemble for unsupervised outlier analysis. Application to outlier identification in the Gaia astronomical survey. Expert Syst. Appl. 40(5), 1530\u20131541 (2013)","journal-title":"Expert Syst. Appl."},{"issue":"9","key":"9_CR14","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.1016\/j.soilbio.2008.03.023","volume":"40","author":"R Garcia-Ruiz","year":"2008","unstructured":"Garcia-Ruiz, R., et al.: Suitability of enzyme activities for the monitoring of soil quality improvement in organic agricultural systems. Soil Biol. Biochem. 40(9), 2137\u20132145 (2008)","journal-title":"Soil Biol. Biochem."},{"key":"9_CR15","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.chemolab.2013.09.008","volume":"130","author":"Z Ge","year":"2014","unstructured":"Ge, Z.: Two-level PLS model for quality prediction of multiphase batch processes. Chemometr. Intell. Lab. Syst. 130, 29\u201336 (2014)","journal-title":"Chemometr. Intell. Lab. Syst."},{"key":"9_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.asoc.2013.09.010","volume":"15","author":"S Ghosh","year":"2014","unstructured":"Ghosh, S., Roy, M., Ghosh, A.: Semi-supervised change detection using modified self-organizing feature map neural network. Appl. Soft Comput. 15, 1\u201320 (2014)","journal-title":"Appl. Soft Comput."},{"key":"9_CR17","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.chemolab.2013.11.008","volume":"130","author":"Jos\u00e9 L. Godoy","year":"2014","unstructured":"Godoy, J.L., Vega, J.R., Marchetti, J.L.: Relationships between PCA and PLS-regression. Chemom. Intell. Lab. Syst. 130, 182\u2013191 (2014)","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"9_CR18","first-page":"947","volume":"1","author":"T Harris","year":"1993","unstructured":"Harris, T., Kohonen, A.: S.O.M. based, machine health monitoring systems which enables diagnosis of faults not seen in the training set. Proc. Int. Conf. Neural Netw. (IJCNN\u201993) Nagoya, Japan 1, 947\u2013950 (1993)","journal-title":"Proc. Int. Conf. Neural Netw. (IJCNN\u201993) Nagoya, Japan"},{"issue":"2","key":"9_CR19","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1002\/cem.1180090203","volume":"9","author":"A H\u00f6skuldsson","year":"1995","unstructured":"H\u00f6skuldsson, A.: A combined theory for PCA and PLS. J. Chemom. 9(2), 91\u2013123 (1995). doi:\n                  10.1002\/cem.1180090203","journal-title":"J. Chemom."},{"issue":"1","key":"9_CR20","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/0169-7439(95)00076-3","volume":"30","author":"W Hu","year":"1995","unstructured":"Hu, W., Storer, R., Georgakis, C.: Disturbance detection and isolation by dynamic principal component analysis. Chemometr. Intell. Lab. Syst. 30(1), 179\u2013196 (1995)","journal-title":"Chemometr. Intell. Lab. Syst."},{"key":"9_CR21","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/0950-7051(96)81917-4","volume":"8","author":"I Ivanova","year":"1995","unstructured":"Ivanova, I., Kubat, M.: Initialization of neural networks by means of decision trees. Knowl. Based Syst. 8, 333\u2013344 (1995)","journal-title":"Knowl. Based Syst."},{"issue":"1","key":"9_CR22","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1109\/72.182710","volume":"4","author":"J.-S.R. Jang","year":"1993","unstructured":"Jang, J.-S.R., Sun, C.T.: Functional equivalence between radial basis function networks and fuzzy inference systems. IEEE Trans. Neural Netw. 4, 156\u2013159 (1993)","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"4","key":"9_CR23","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1002\/cem.677","volume":"15","author":"K Jann\u00e9","year":"2001","unstructured":"Jann\u00e9, K., et al.: Hierarchical principal component analysis (PCA) and projection to latent structure (PLS) technique on spectroscopic data as a data pretreatment for calibration. J. Chemom. 15(4), 203\u2013213 (2001). doi:\n                  10.1002\/cem.677","journal-title":"J. Chemom."},{"issue":"5","key":"9_CR24","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1002\/aic.690440509","volume":"44","author":"C Jeackle","year":"1998","unstructured":"Jeackle, C., MacGregor, J.: Product design through multivariate statistical analysis of process data. Am. Inst. Chem. Eng. J. 44(5), 1105\u20131118 (1998)","journal-title":"Am. Inst. Chem. Eng. J."},{"key":"9_CR25","unstructured":"Jolliffe, I.T.: Principal Component Analysis, 2nd edn. Springer Series in Statistics (2008)"},{"issue":"7","key":"9_CR26","doi-asserted-by":"publisher","first-page":"3191","DOI":"10.1016\/j.asoc.2013.01.027","volume":"13","author":"P Juntunen","year":"2013","unstructured":"Juntunen, P., et al.: Cluster analysis by self-organizing maps: an application to the modelling of water quality in a treatment process. Appl. Soft Comput. 13(7), 3191\u20133196 (2013)","journal-title":"Appl. Soft Comput."},{"issue":"7","key":"9_CR27","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1016\/j.envsoft.2007.10.001","volume":"23","author":"AM Kalteh","year":"2008","unstructured":"Kalteh, A.M., Hjorth, P., Berndtsson, R.: Review of the self-organizing map (SOM) approach in water resources: analysis, modelling and application. Environ. Model Softw. 23(7), 835\u2013845 (2008)","journal-title":"Environ. Model Softw."},{"issue":"1\u20132","key":"9_CR28","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.compchemeng.2007.07.005","volume":"32","author":"M Kano","year":"2008","unstructured":"Kano, M., Nakagawa, Y.: Data-based process monitoring, process control, and quality improvement: recent developments and applications in steel industry. Comput. Chem. Eng. 32(1\u20132), 12\u201324 (2008)","journal-title":"Comput. Chem. Eng."},{"issue":"4","key":"9_CR29","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/0309-1740(92)90025-Y","volume":"31","author":"A Karlsson","year":"1992","unstructured":"Karlsson, A.: The use of principal component analysis (PCA) for evaluating results from pig meat quality measurements. Meat Sci. 31(4), 423\u2013433 (1992)","journal-title":"Meat Sci."},{"key":"9_CR30","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1016\/B978-0-444-89488-5.50152-4","volume":"2","author":"M Kassalin","year":"1992","unstructured":"Kassalin, M., Kangas, J., Simula, O.: Process state monitoring using self-organizing maps. Artif. Neural Netw. 2, 1531\u20131534 (1992)","journal-title":"Artif. Neural Netw."},{"issue":"2","key":"9_CR31","doi-asserted-by":"publisher","first-page":"782","DOI":"10.1016\/j.asoc.2012.09.027","volume":"13","author":"T Kenesei","year":"2013","unstructured":"Kenesei, T., Abonyi, J.: Hinging hyperplane based regression tree identified by fuzzy clustering and its application. Appl. Soft Comput. J. 13(2), 782\u2013792 (2013)","journal-title":"Appl. Soft Comput. J."},{"key":"9_CR32","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.csda.2003.11.027","volume":"48","author":"N Kettaneh","year":"2003","unstructured":"Kettaneh, N., Berglund, A., Wold, S.: PCA and PLS with very large data sets. Comput. Stat. Data Anal. 48, 69\u201385 (2003)","journal-title":"Comput. Stat. Data Anal."},{"issue":"9","key":"9_CR33","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1109\/5.58325","volume":"78","author":"T Kohonen","year":"1990","unstructured":"Kohonen, T.: The self-organizing map. Proc. IEEE 78(9), 1464\u20131480 (1990)","journal-title":"Proc. IEEE"},{"key":"9_CR34","doi-asserted-by":"crossref","unstructured":"Kohonen, T.: Self-Organizing Maps, 3rd edn. Springer Series in Information Sciences (2001)","DOI":"10.1007\/978-3-642-56927-2"},{"key":"9_CR001","unstructured":"Kresta, J.V.: The application of partial least squares to problems in chemical\nengineering, PhD Theis, McMaster University (1992).\n\n                  http:\/\/hdl.handle.net\/11375\/8576"},{"issue":"1","key":"9_CR35","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1002\/cjce.5450690105","volume":"69","author":"James V. Kresta","year":"1991","unstructured":"Kresta, J.V., Macgregor, F.F., Marlin, T.E.: Multivariate statistical monitoring of process operating performance. Can. J. Chem. Eng. 69(1), 35\u201347 (1992). doi:\n                  10.1002\/cjce.5450690105","journal-title":"The Canadian Journal of Chemical Engineering"},{"key":"9_CR36","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.jkss.2009.08.004","volume":"39","author":"V Kuentz","year":"2010","unstructured":"Kuentz, V., Saracco, J.: Cluster-based sliced inverse regression. J. Korean Stat. Soc. 39, 251\u2013267 (2010)","journal-title":"J. Korean Stat. Soc."},{"key":"9_CR37","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1016\/S0098-1354(00)00406-3","volume":"24","author":"S Lakshminarayanan","year":"2000","unstructured":"Lakshminarayanan, S., et al.: New product design via analysis of historical databases. Comput. Chem. Eng. 24, 671\u2013676 (2000)","journal-title":"Comput. Chem. Eng."},{"key":"9_CR38","unstructured":"Li, K.-C.: Sliced inverse regression for dimension reduction (2012). \n                  www.jstor.org\/stable\/2290563\n                  \n                . Accessed 19 Dec 2013"},{"issue":"8","key":"9_CR39","doi-asserted-by":"crossref","first-page":"2656","DOI":"10.1016\/j.jspi.2008.12.006","volume":"139","author":"Heng-Hui Lue","year":"2009","unstructured":"Lue, H.-H.: Sliced inverse regression for multivariate response regression. J. Stat. Plan. Inference 139, 2656\u20132664 (2009)","journal-title":"Journal of Statistical Planning and Inference"},{"issue":"3","key":"9_CR40","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1016\/0967-0661(95)00014-L","volume":"3","author":"JF MacGregor","year":"1995","unstructured":"MacGregor, J.F., Kourti, T.: Statistical process control of multivariate processes. Control Eng. Pract. 3(3), 403\u2013414 (1995)","journal-title":"Control Eng. Pract."},{"key":"9_CR41","doi-asserted-by":"publisher","first-page":"S599","DOI":"10.1016\/0098-1354(96)00109-3","volume":"20","author":"EB Martin","year":"1996","unstructured":"Martin, E.B., et al.: Batch process monitoring for consistent production. Comput. Chem. Eng. 20, S599\u2013S605 (1996)","journal-title":"Comput. Chem. Eng."},{"issue":"3\u20134","key":"9_CR42","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.agee.2007.12.008","volume":"126","author":"PM Mele","year":"2008","unstructured":"Mele, P.M., Crowley, D.E.: Application of self-organizing maps for assessing soil biological quality. Agric. Ecosyst. Environ. 126(3\u20134), 139\u2013152 (2008)","journal-title":"Agric. Ecosyst. Environ."},{"key":"9_CR43","unstructured":"Montgomery D.C.: Introduction to Statistical Quality Control, John Wiley, New York (2009)"},{"issue":"15","key":"9_CR44","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/S1474-6670(17)59416-1","volume":"19","author":"Y. Moteki","year":"1986","unstructured":"Moteki, Y., Arai, Y.: Operation planning and quality design of a polymer process. In: IFAC DYCORD, pp. 159\u2013165 (1986)","journal-title":"IFAC Proceedings Volumes"},{"key":"9_CR45","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/S0925-2312(97)00068-4","volume":"18","author":"A Munoz","year":"1998","unstructured":"Munoz, A., Muruz\u00e1bal, J.: Self-organizing maps for outlier detection. Neurocomputing 18, 33\u201360 (1998)","journal-title":"Neurocomputing"},{"key":"9_CR46","unstructured":"Murray-Smith, R., Johansen, T.A.: Multiple Model Approaches to Nonlinear Modeling and Control. Taylor & Francis, London (1997)"},{"issue":"5","key":"9_CR47","first-page":"233","volume":"52","author":"G Nagy","year":"1997","unstructured":"Nagy, G.: The polyethylene, Magyar K\u00e9mikusok Lapja (MKL). Hungary 52(5), 233\u2013242 (1997)","journal-title":"Hungary"},{"issue":"1","key":"9_CR48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.chemolab.2005.04.006","volume":"80","author":"PRC Nelson","year":"2006","unstructured":"Nelson, P.R.C., MacGregor, J.F., Taylor, P.A.: The impact of missing measurements on PCA and PLS prediction and monitoring applications. Chemometr. Intell. Lab. Syst. 80(1), 1\u201312 (2006)","journal-title":"Chemometr. Intell. Lab. Syst."},{"issue":"2","key":"9_CR49","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.postharvbio.2007.06.024","volume":"46","author":"BM Nicolai","year":"2007","unstructured":"Nicolai, B.M., et al.: Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: a review. Postharvest Biol. Technol. 46(2), 99\u2013118 (2007)","journal-title":"Postharvest Biol. Technol."},{"key":"9_CR50","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/0040-6031(92)80285-5","volume":"210","author":"RJ Ochocka","year":"1992","unstructured":"Ochocka, R.J., Wesolowski, M., Lamparczyk, H.: Thermoanalysis supported by principal component analysis (PCA) in quality assessment of essential oil samples. Thermochim. Acta 210, 151\u2013162 (1992)","journal-title":"Thermochim. Acta"},{"issue":"9","key":"9_CR51","doi-asserted-by":"publisher","first-page":"3634","DOI":"10.1016\/j.eswa.2012.12.069","volume":"40","author":"R Olawoyin","year":"2013","unstructured":"Olawoyin, R., et al.: Application of artificial neural network (ANN)\u2013self-organizing map (SOM) for the categorization of water, soil and sediment quality in petrochemical regions. Expert Syst. Appl. 40(9), 3634\u20133648 (2013)","journal-title":"Expert Syst. Appl."},{"key":"9_CR52","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/S0165-0114(98)00222-X","volume":"103","author":"NR Pal","year":"1999","unstructured":"Pal, N.R.: Soft computing for feature analysis. Fuzzy Sets Syst. 103, 201\u2013221 (1999)","journal-title":"Fuzzy Sets Syst."},{"issue":"4","key":"9_CR53","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/j.foodres.2007.12.013","volume":"41","author":"AFC Pereira","year":"2008","unstructured":"Pereira, A.F.C., et al.: NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection. Food Res. Int. 41(4), 341\u2013348 (2008)","journal-title":"Food Res. Int."},{"key":"9_CR54","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1016\/j.neucom.2013.06.021","volume":"122","author":"G Poggy","year":"2013","unstructured":"Poggy, G., Cozzolino, D., Verdoliva, L.: Self-organizing maps for the design of multiple description vector quantizers. Neurocomputing 122, 298\u2013309 (2013)","journal-title":"Neurocomputing"},{"key":"9_CR55","unstructured":"P\u00f6lzlbauer, G.: Survey and comparison of quality measures for self-organizing maps. In: Fifth Workshop on Data Analysis (WDA) (2004). \n                  www.ifs.tuwien.ac.at\/~poelzlbauer\/publications\/Poe04WDA.pdf\n                  \n                . Accessed 17 Dec 2013"},{"issue":"11","key":"9_CR56","doi-asserted-by":"publisher","first-page":"2241","DOI":"10.1109\/5.726789","volume":"86","author":"JC Principe","year":"1998","unstructured":"Principe, J.C., Wang, L., Motter, M.A.: Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control. Proc. IEEE 86(11), 2241\u20132258 (1998)","journal-title":"Proc. IEEE"},{"issue":"2","key":"9_CR57","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1080\/02626660109492818","volume":"46","author":"F S\u00e1nchez-Martos","year":"2001","unstructured":"S\u00e1nchez-Martos, F., Jim\u00e9nez-Espinosa, R., Pulido-Bosch, A.: Mapping groundwater quality variables using PCA and geostatistics: a case study of Bajo Andarax, southeastern Spain. Hydrol. Sci. J.-des Sciences Hydrologiques 46(2), 227\u2013242 (2001)","journal-title":"Hydrol. Sci. J.-des Sciences Hydrologiques"},{"key":"9_CR58","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1109\/5.58346","volume":"78","author":"LK Sethi","year":"1990","unstructured":"Sethi, L.K.: Entropy nets: from decision trees to neural networks. Proc. IEEE 78, 1605\u20131613 (1990)","journal-title":"Proc. IEEE"},{"key":"9_CR59","unstructured":"Simula, O., et al.: Analysis and modeling of complex systems using the self-organizing map. In Neuro-Fuzzy Techniques for Intelligent Information Systems, pp. 3\u201322. Springer, New York (1999)"},{"issue":"2","key":"9_CR60","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1093\/erae\/23.2.195","volume":"23","author":"JBEM Steenkamp","year":"1996","unstructured":"Steenkamp, J.B.E.M., van Trijp, H.C.M.: Quality guidance: a consumer-based approach to food quality improvement using partial least squares. Eur. Rev. Agric. Econ. 23(2), 195\u2013215 (1996). doi:\n                  10.1093\/erae\/23.2.195","journal-title":"Eur. Rev. Agric. Econ."},{"key":"9_CR61","unstructured":"Tryba, V., Goser, K.: Self-organizing feature maps for process control in chemistry. Artif. Neural Netw. 847\u2013852 (1991)"},{"key":"9_CR62","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.procs.2013.09.238","volume":"20","author":"I Valova","year":"2013","unstructured":"Valova, I., et al.: Initialization Issues in Self-organizing Maps. Procedia Comput. Sci. 20, 52\u201357 (2013)","journal-title":"Procedia Comput. Sci."},{"key":"9_CR63","unstructured":"Vinzi, V., et al.: Handbook of Partial Least Squares. In: Springer Handbooks of Computational Statistics (2010)"},{"key":"9_CR64","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1016\/S1570-7946(09)70126-9","volume":"26","author":"D Wang","year":"2009","unstructured":"Wang, D., Srinivasan, R.: Eliminating the effect of multivariate outliers in pls-based models for inferring process quality. Comput. Aided Chem. Eng. 26, 755\u2013760 (2009)","journal-title":"Comput. Aided Chem. Eng."},{"key":"9_CR65","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/978-1-4471-0421-6_2","volume-title":"Data Mining and Knowledge Discovery for Process Monitoring and Control","author":"Xue Z. Wang","year":"1999","unstructured":"Wang X.Z.: Data Mining and Knowledge Discovery for Process Monitoring and Control. Springer, New York (1999)"},{"issue":"6","key":"9_CR66","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/0959-1524(96)00009-1","volume":"6","author":"Barry M. Wise","year":"1996","unstructured":"Wise, B.M., Gallagher, N.B.: The process chemometrics approach to process monitoring and fault detection. Journal of Process Control 6(6), 329\u2013348 (1996). doi:\n                  http:\/\/dx.doi.org\/10.1016\/0959-1524(96)00009-1","journal-title":"Journal of Process Control"},{"key":"9_CR68","unstructured":"Vesanto, J., Himberg, J., Alhoniemi, E., Parhankangas, J.: SOM Tooolbox for MATLAB (2015). The Toolbox can be downloaded for free from \n                  http:\/\/www.cis.hut.fi\/projects\/somtoolbox"},{"key":"9_CR69","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/S0098-1354(00)00497-X","volume":"24","author":"Y Yamashita","year":"2000","unstructured":"Yamashita, Y.: Supervised learning for the analysis of the process operational data. Comput. Chem. Eng. 24, 471\u2013474 (2000)","journal-title":"Comput. Chem. Eng."},{"issue":"6","key":"9_CR500","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/52.329401","volume":"11","author":"L.A. Zadeh","year":"1994","unstructured":"Zadeh, L.A.: Soft computing and fuzzy logic. Software, IEEE 11(6), 48\u201356 (1994)","journal-title":"IEEE Software"},{"key":"9_CR70","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/S1385-8947(97)00048-X","volume":"67","author":"J Zhang","year":"1997","unstructured":"Zhang, J., Martin, E.B., Morris, A.J.: Process monitoring using non-linear statistical techniques. Chem. Eng. J. 67, 181\u2013189 (1997)","journal-title":"Chem. Eng. J."}],"container-title":["Intelligent Systems Reference Library","Intelligent Decision Making in Quality Management"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-24499-0_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T07:12:21Z","timestamp":1559286741000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-24499-0_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,31]]},"ISBN":["9783319244976","9783319244990"],"references-count":72,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-24499-0_9","relation":{},"ISSN":["1868-4394","1868-4408"],"issn-type":[{"type":"print","value":"1868-4394"},{"type":"electronic","value":"1868-4408"}],"subject":[],"published":{"date-parts":[[2015,10,31]]}}}