{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T14:59:43Z","timestamp":1777301983856,"version":"3.51.4"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,5,16]],"date-time":"2015-05-16T00:00:00Z","timestamp":1431734400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1007\/s10845-015-1089-6","type":"journal-article","created":{"date-parts":[[2015,5,15]],"date-time":"2015-05-15T02:26:25Z","timestamp":1431656785000},"page":"51-67","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["Recognition of control chart patterns using fuzzy SVM with a hybrid kernel function"],"prefix":"10.1007","volume":"29","author":[{"given":"Xueliang","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Pingyu","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Xianxiang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,5,16]]},"reference":[{"issue":"12","key":"1089_CR1","doi-asserted-by":"crossref","first-page":"3264","DOI":"10.1016\/j.patcog.2008.10.023","volume":"42","author":"MM Adankon","year":"2009","unstructured":"Adankon, M. M., & Cheriet, M. (2009). Model selection for the LS-SVM. Application to handwriting recognition. Pattern Recognition, 42(12), 3264\u20133270.","journal-title":"Pattern Recognition"},{"issue":"9\u201312","key":"1089_CR2","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1007\/s00170-013-5200-x","volume":"69","author":"F Ahmadzadeh","year":"2013","unstructured":"Ahmadzadeh, F., Lundberg, J., & Stromberg, T. (2013). Multivariate process parameter change identification by neural network. International Journal of Advanced Manufacturing Technology, 69(9\u201312), 2261\u20132268.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"issue":"9\u201312","key":"1089_CR3","doi-asserted-by":"crossref","first-page":"1889","DOI":"10.1007\/s00170-013-5412-0","volume":"70","author":"I Ahmed","year":"2014","unstructured":"Ahmed, I., Sultana, I., Paul, S. K., & Azeem, A. (2014). Performance evaluation of control chart for multiple assignable causes using genetic algorithm. International Journal of Advanced Manufacturing Technology, 70(9\u201312), 1889\u20131902.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"issue":"1","key":"1089_CR4","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.cie.2004.02.007","volume":"47","author":"Y Al-Assaf","year":"2004","unstructured":"Al-Assaf, Y. (2004). Recognition of control chart patterns using multi-resolution wavelets analysis and neural networks. Computers and Industrial Engineering, 47(1), 17\u201329. doi: 10.1016\/j.cie.2004.02.007 .","journal-title":"Computers and Industrial Engineering"},{"issue":"1","key":"1089_CR5","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/0360-8352(95)00043-Z","volume":"29","author":"AM Al-Ghanim","year":"1995","unstructured":"Al-Ghanim, A. M., & Kamat, S. J. (1995). Unnatural pattern recognition on control charts using correlation analysis techniques. Computers and Industrial Engineering, 29(1), 43\u201347.","journal-title":"Computers and Industrial Engineering"},{"issue":"3","key":"1089_CR6","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/S0360-8352(96)00214-8","volume":"32","author":"AM Al-Ghanim","year":"1997","unstructured":"Al-Ghanim, A. M., & Ludeman, L. C. (1997). Automated unnatural pattern recognition on control charts using correlation analysis techniques. Computers and Industrial Engineering, 32(3), 679\u2013690.","journal-title":"Computers and Industrial Engineering"},{"issue":"1","key":"1089_CR7","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.cie.2005.01.021","volume":"49","author":"K Assaleh","year":"2005","unstructured":"Assaleh, K., & Al-assaf, Y. (2005). Features extraction and analysis for classifying causable patterns in control charts. Computers and Industrial Engineering, 49(1), 168\u2013181. doi: 10.1016\/j.cie.2005.01.021 .","journal-title":"Computers and Industrial Engineering"},{"issue":"1\u20134","key":"1089_CR8","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/s00170-011-3799-z","volume":"62","author":"M Bag","year":"2012","unstructured":"Bag, M., Gauri, S. K., & Chakraborty, S. (2012). An expert system for control chart pattern recognition. International Journal of Advanced Manufacturing Technology, 62(1\u20134), 291\u2013301. doi: 10.1007\/s00170-011-3799-z .","journal-title":"International Journal of Advanced Manufacturing Technology"},{"key":"1089_CR9","unstructured":"Bahlmann, C., Haasdonk, B., & Burkhardt, H. (2002). Online handwriting recognition with support vector machines: A kernel approach. In 2002\u201301-01 (49\u201354: IEEE)."},{"key":"1089_CR10","unstructured":"Bredensteiner, E. J., & Bennett, K. P. (1999). Multicategory classification by support vector machines computational optimization (pp. 53\u201379). New York: Springer."},{"issue":"3","key":"1089_CR11","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.aei.2007.03.002","volume":"21","author":"Z Chen","year":"2007","unstructured":"Chen, Z., Lu, S., & Lam, S. (2007). A hybrid system for SPC concurrent pattern recognition. Advanced Engineering Informatics, 21(3), 303\u2013310. doi: 10.1016\/j.aei.2007.03.002 .","journal-title":"Advanced Engineering Informatics"},{"issue":"3","key":"1089_CR12","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1080\/002075497195650","volume":"35","author":"CS Cheng","year":"1997","unstructured":"Cheng, C. S. (1997). A neural network approach for the analysis of control chart patterns. International Journal of Production Research, 35(3), 667\u2013697. doi: 10.1080\/002075497195650 .","journal-title":"International Journal of Production Research"},{"issue":"4","key":"1089_CR13","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1016\/0360-8352(92)90025-F","volume":"22","author":"C Cheng","year":"1992","unstructured":"Cheng, C., & Hubele, N. F. (1992). Design of a knowledge-based expert system for statistical process control. Computers and Industrial Engineering, 22(4), 501\u2013517. doi: 10.1016\/0360-8352(92)90025-F .","journal-title":"Computers and Industrial Engineering"},{"key":"1089_CR14","doi-asserted-by":"crossref","unstructured":"Cheng, Z., & Ma, Y. (2008). A research about pattern recognition of control chart using probability neural network. In 2008\u201301-01 (2, pp. 140\u2013145: IEEE)","DOI":"10.1109\/CCCM.2008.168"},{"key":"1089_CR15","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., & Vapnik, V. (1995). Support vector network. Machine Learning, 20, 273\u2013297.","journal-title":"Machine Learning"},{"key":"1089_CR16","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511801389","volume-title":"An introduction to support vector machines and other kernel-based learning methods","author":"N Cristianini","year":"2000","unstructured":"Cristianini, N., & Shawe-Taylor, J. (2000). An introduction to support vector machines and other kernel-based learning methods. Cambridge: Cambridge University Press."},{"issue":"4","key":"1089_CR17","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1016\/j.cie.2013.09.012","volume":"66","author":"S Du","year":"2013","unstructured":"Du, S., Huang, D., & Lv, J. (2013). Recognition of concurrent control chart patterns using wavelet transform decomposition and multiclass support vector machines. Computers and Industrial Engineering, 66(4), 683\u2013695. doi: 10.1016\/j.cie.2013.09.012 .","journal-title":"Computers and Industrial Engineering"},{"key":"1089_CR18","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s00170-009-2490-0","volume":"50","author":"S Du","year":"2010","unstructured":"Du, S., Yu, L. X. J., & Sun, J. (2010). Online intelligent monitoring and diagnosis of aircraft horizontal stabilizer assemble processes. International Journal Of Advanced Manufacturing Technology, 50, 377\u2013389. doi: 10.1007\/s00170-009-2490-0 .","journal-title":"International Journal Of Advanced Manufacturing Technology"},{"issue":"1","key":"1089_CR19","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/j.ijpe.2012.09.002","volume":"141","author":"S Du","year":"2013","unstructured":"Du, S., & Lv, J. (2013). Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes. International Journal of Production Economics, 141(1), 377\u2013387. doi: 10.1016\/j.ijpe.2012.09.002 .","journal-title":"International Journal of Production Economics"},{"key":"1089_CR20","volume-title":"Quality control and industrial statistics","author":"AJ Ducan","year":"1986","unstructured":"Ducan, A. J. (1986). Quality control and industrial statistics (5th ed.). Homewood, IL: Richard D. Irwin.","edition":"5"},{"issue":"1","key":"1089_CR21","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.isatra.2011.08.005","volume":"51","author":"A Ebrahimzadeh","year":"2012","unstructured":"Ebrahimzadeh, A., Addeh, J., & Rahmani, Z. (2012). Control chart pattern recognition using K-MICA clustering and neural networks. Isa Transactions, 51(1), 111\u2013119. doi: 10.1016\/j.isatra.2011.08.005 .","journal-title":"Isa Transactions"},{"issue":"3","key":"1089_CR22","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/j.isatra.2010.03.007","volume":"49","author":"A Ebrahimzadeh","year":"2010","unstructured":"Ebrahimzadeh, A., & Ranaee, V. (2010). Control chart pattern recognition using an optimized neural network and efficient features. Isa Transactions, 49(3), 387\u2013393. doi: 10.1016\/j.isatra.2010.03.007 .","journal-title":"Isa Transactions"},{"issue":"8","key":"1089_CR23","doi-asserted-by":"crossref","first-page":"2348","DOI":"10.1109\/TSP.2004.831018","volume":"52","author":"A Ganapathiraju","year":"2004","unstructured":"Ganapathiraju, A., Hamaker, J. E., & Picone, J. (2004). Applications of support vector machines to speech recognition. IEEE Transactions on Signal Processing, 52(8), 2348\u20132355.","journal-title":"IEEE Transactions on Signal Processing"},{"issue":"9\u201312","key":"1089_CR24","doi-asserted-by":"publisher","first-page":"1061","DOI":"10.1007\/s00170-009-2354-7","volume":"48","author":"SK Gauri","year":"2010","unstructured":"Gauri, S. K. (2010). Control chart pattern recognition using feature-based learning vector quantization. International Journal of Advanced Manufacturing Technology, 48(9\u201312), 1061\u20131073. doi: 10.1007\/s00170-009-2354-7 .","journal-title":"International Journal of Advanced Manufacturing Technology"},{"issue":"4","key":"1089_CR25","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1016\/j.cie.2006.07.013","volume":"51","author":"SK Gauri","year":"2006","unstructured":"Gauri, S. K., & Chakraborty, S. (2006). Feature-based recognition of control chart patterns. Computers and Industrial Engineering, 51(4), 726\u2013742. doi: 10.1016\/j.cie.2006.07.013 .","journal-title":"Computers and Industrial Engineering"},{"issue":"3\u20134","key":"1089_CR26","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/s00170-006-0591-6","volume":"34","author":"SK Gauri","year":"2007","unstructured":"Gauri, S. K., & Chakraborty, S. (2007). A study on the various features for effective control chart pattern recognition. International Journal of Advanced Manufacturing Technology, 34(3\u20134), 385\u2013398. doi: 10.1007\/s00170-006-0591-6 .","journal-title":"International Journal of Advanced Manufacturing Technology"},{"issue":"5\u20138","key":"1089_CR27","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1007\/s00170-012-4595-0","volume":"67","author":"A Ghiasabadi","year":"2013","unstructured":"Ghiasabadi, A., Noorossana, R., & Saghaei, A. (2013). Identifying change point of a non-random pattern on (X)over-bar control chart using artificial neural networks. International Journal of Advanced Manufacturing Technology, 67(5\u20138), 1623\u20131630.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"issue":"6","key":"1089_CR28","doi-asserted-by":"publisher","first-page":"1241","DOI":"10.1007\/s10845-012-0659-0","volume":"24","author":"N Gu","year":"2013","unstructured":"Gu, N., Cao, Z., Xie, L., Creighton, D., Tan, M., & Nahavandi, S. (2013). Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization. Journal of Intelligent Manufacturing, 24(6), 1241\u20131252. doi: 10.1007\/s10845-012-0659-0 .","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"14","key":"1089_CR29","doi-asserted-by":"publisher","first-page":"3959","DOI":"10.1080\/00207540601011501","volume":"46","author":"RS Guh","year":"2008","unstructured":"Guh, R. S. (2008). Real-time recognition of control chart patterns in autocorrelated processes using a learning vector quantization network-based approach. International Journal of Production Research, 46(14), 3959\u20133991. doi: 10.1080\/00207540601011501 .","journal-title":"International Journal of Production Research"},{"issue":"5","key":"1089_CR30","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1023\/A:1008975131304","volume":"10","author":"RS Guh","year":"1999","unstructured":"Guh, R. S., & Tannock, J. (1999). A neural network approach to characterize pattern parameters in process control charts. Journal of Intelligent Manufacturing, 10(5), 449\u2013462.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"1","key":"1089_CR31","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.cie.2005.03.002","volume":"49","author":"R Guh","year":"2005","unstructured":"Guh, R. (2005). A hybrid learning-based model for on-line detection and analysis of control chart patterns. Computers and Industrial Engineering, 49(1), 35\u201362. doi: 10.1016\/j.cie.2005.03.002 .","journal-title":"Computers and Industrial Engineering"},{"key":"1089_CR32","unstructured":"Gunn, S. R. (1998). Support vector machines for classification and regression. ISIS technical report, 14."},{"issue":"7","key":"1089_CR33","doi-asserted-by":"crossref","first-page":"1587","DOI":"10.1080\/0020754021000049844","volume":"41","author":"A Hassan","year":"2003","unstructured":"Hassan, A., Baksh, M., Shaharoun, A. M., & Jamaluddin, H. (2003). Improved SPC chart pattern recognition using statistical features. International Journal of Production Research, 41(7), 1587\u2013 1603.","journal-title":"International Journal of Production Research"},{"issue":"1","key":"1089_CR34","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s10845-011-0533-5","volume":"24","author":"S He","year":"2013","unstructured":"He, S., He, Z., & Wang, G. A. (2013). Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques. Journal of Intelligent Manufacturing, 24(1), 25\u201334. doi: 10.1007\/s10845-011-0533-5 .","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"2","key":"1089_CR35","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1109\/72.991427","volume":"13","author":"C Hsu","year":"2002","unstructured":"Hsu, C., & Lin, C. (2002). A comparison of methods for multiclass support vector machines. IEEE Transactions on Neural Networks, 13(2), 415\u2013425.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"1089_CR36","doi-asserted-by":"publisher","unstructured":"Kao, L., Lee, T., & Lu, C. (2014). A multi-stage control chart pattern recognition scheme based on independent component analysis and support vector machine. Journal Of Intelligent Manufacturing. doi: 10.1007\/s10845-014-0903-x .","DOI":"10.1007\/s10845-014-0903-x"},{"issue":"4","key":"1089_CR37","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/BF00124138","volume":"4","author":"T Kuo","year":"1993","unstructured":"Kuo, T., & Mital, A. (1993). Quality control expert systems: A review of pertinent literature. Journal of Intelligent Manufacturing, 4(4), 245\u2013257.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1089_CR38","unstructured":"Kwok, J. T. (2000). Automated Text Categorization Using Support Vector Machine. In Proceedings of the International Conference on Neural Information Processing (ICONIP)."},{"issue":"4","key":"1089_CR39","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1016\/j.cie.2011.06.025","volume":"61","author":"S Lin","year":"2011","unstructured":"Lin, S., Guh, R., & Shiue, Y. (2011). Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach. Computers and Industrial Engineering, 61(4), 1123\u20131134. doi: 10.1016\/j.cie.2011.06.025 .","journal-title":"Computers and Industrial Engineering"},{"issue":"9\u201312","key":"1089_CR40","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1007\/s00170-012-4399-2","volume":"66","author":"I Masood","year":"2013","unstructured":"Masood, I., & Hassan, A. (2013). Pattern recognition for bivariate process mean shifts using feature-based artificial neural network. International Journal of Advanced Manufacturing Technology, 66(9\u201312), 1201\u20131218.","journal-title":"International Journal of Advanced Manufacturing Technology"},{"issue":"12","key":"1089_CR41","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/0898-1221(92)90094-X","volume":"23","author":"Z Michalewicz","year":"1992","unstructured":"Michalewicz, Z., Janikow, C. Z., & Krawczyk, J. B. (1992). A modified genetic algorithm for optimal control problems. Computers and Mathematics With Applications, 23(12), 83\u201394. doi: 10.1016\/0898-1221(92)90094-X .","journal-title":"Computers and Mathematics With Applications"},{"key":"1089_CR42","volume-title":"Introduction to statistical quality control","author":"DC Montgomery","year":"2007","unstructured":"Montgomery, D. C. (2007). Introduction to statistical quality control. London: Wiley."},{"issue":"4","key":"1089_CR43","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1080\/00224065.1984.11978921","volume":"16","author":"LS Nelson","year":"1984","unstructured":"Nelson, L. S. (1984). The Shewhart control chart: Tests for special causes. Journal Of Quality Technology, 16(4), 237\u2013239.","journal-title":"Journal Of Quality Technology"},{"issue":"3","key":"1089_CR44","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1080\/00207549408956963","volume":"32","author":"DT Pham","year":"1994","unstructured":"Pham, D. T., & Oztemel, E. (1994). Control chart pattern recognition using learning vector quantization networks. International Journal of Production Research, 32(3), 721\u2013729.","journal-title":"International Journal of Production Research"},{"issue":"7","key":"1089_CR45","doi-asserted-by":"publisher","first-page":"1875","DOI":"10.1080\/002075497194967","volume":"35","author":"DT Pham","year":"1997","unstructured":"Pham, D. T., & Wani, M. A. (1997). Feature-based control chart pattern recognition. International Journal of Production Research, 35(7), 1875\u20131890. doi: 10.1080\/002075497194967 .","journal-title":"International Journal of Production Research"},{"issue":"6","key":"1089_CR46","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1007\/s10845-008-0152-y","volume":"20","author":"J Pingyu","year":"2009","unstructured":"Pingyu, J., Daoyu, L., & Zhijian, Z. (2009). Recognizing control chart patterns with neural network and numerical fitting. Journal of Intelligent Manufacturing, 20(6), 625\u2013635.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"4","key":"1089_CR47","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1016\/j.isatra.2010.06.005","volume":"49","author":"V Ranaee","year":"2010","unstructured":"Ranaee, V., Ebrahimzadeh, A., & Ghaderi, R. (2010). Application of the PSO-SVM model for recognition of control chart patterns. Isa Transactions, 49(4), 577\u2013586. doi: 10.1016\/j.isatra.2010.06.005 .","journal-title":"Isa Transactions"},{"issue":"2","key":"1089_CR48","doi-asserted-by":"publisher","first-page":"2676","DOI":"10.1016\/j.asoc.2010.10.016","volume":"11","author":"V Ranaee","year":"2011","unstructured":"Ranaee, V., & Ebrahimzadeh, A. (2011). Control chart pattern recognition using a novel hybrid intelligent method. Applied Soft Computing, 11(2), 2676\u20132686. doi: 10.1016\/j.asoc.2010.10.016 .","journal-title":"Applied Soft Computing"},{"issue":"3","key":"1089_CR49","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/s10044-011-0246-6","volume":"16","author":"V Ranaee","year":"2013","unstructured":"Ranaee, V., & Ebrahimzadeh, A. (2013). Control chart pattern recognition using neural networks and efficient features: A comparative study. Pattern Analysis and Applications, 16(3), 321\u2013332.","journal-title":"Pattern Analysis and Applications"},{"key":"1089_CR50","volume-title":"Development of a knowledge-based expert system for control-chart pattern recognition and analysis","author":"JA Swift","year":"1987","unstructured":"Swift, J. A. (1987). Development of a knowledge-based expert system for control-chart pattern recognition and analysis. Stillwater, OK, USA: Oklahoma State Univ."},{"issue":"1","key":"1089_CR51","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/0360-8352(94)00028-L","volume":"28","author":"JA Swift","year":"1995","unstructured":"Swift, J. A., & Mize, J. H. (1995a). Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems. Computers and Industrial Engineering, 28(1), 81\u201391. doi: 10.1016\/0360-8352(94)00028-L .","journal-title":"Computers and Industrial Engineering"},{"issue":"1","key":"1089_CR52","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/0360-8352(94)00028-L","volume":"28","author":"JA Swift","year":"1995","unstructured":"Swift, J. A., & Mize, J. H. (1995b). Out-of-control pattern recognition and analysis for quality control charts using LISP-based systems. Computers and Industrial Engineering, 28(1), 81\u201391.","journal-title":"Computers and Industrial Engineering"},{"issue":"5SI","key":"1089_CR53","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1007\/s10845-013-0823-1","volume":"25","author":"K Takeyasu","year":"2014","unstructured":"Takeyasu, K., & Kainosho, M. (2014). Optimization technique by genetic algorithms for international logistics. Journal of Intelligent Manufacturing, 25(5SI), 1043\u20131049.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"4","key":"1089_CR54","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1109\/TKDE.2004.1269664","volume":"16","author":"Y Tan","year":"2004","unstructured":"Tan, Y., & Wang, J. (2004). A support vector machine with a hybrid kernel and minimal Vapnik\u2013Chervonenkis dimension. IEEE Transactions on Knowledge and Data Engineering, 16(4), 385\u2013395.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"1089_CR55","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3264-1","volume-title":"The nature of statistical learning theory","author":"V Vapnik","year":"2000","unstructured":"Vapnik, V. (2000). The nature of statistical learning theory. Berlin: springer."},{"issue":"6","key":"1089_CR56","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1007\/s10845-012-0650-9","volume":"24","author":"JA Ventura","year":"2013","unstructured":"Ventura, J. A., & Yoon, S. (2013). A new genetic algorithm for lot-streaming flow shop scheduling with limited capacity buffers. Journal of Intelligent Manufacturing, 24(6), 1185\u20131196. doi: 10.1007\/s10845-012-0650-9 .","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1089_CR57","doi-asserted-by":"publisher","unstructured":"Wang, C., & Kuo, W. (2007). Identification of control chart patterns using wavelet filtering and robust fuzzy clustering. Journal of Intelligent Manufacturing, 18(3), 343\u2013350. doi: 10.1007\/s10845-007-0028-6 .","DOI":"10.1007\/s10845-007-0028-6"},{"key":"1089_CR58","doi-asserted-by":"publisher","unstructured":"Wang, C., & Lin, S. (2002). Fuzzy support vector machines. Ieee Transactions on Neural Networks, 13(2), 464\u2013471. doi: 10.1109\/72.991432 .","DOI":"10.1109\/72.991432"},{"key":"1089_CR59","doi-asserted-by":"crossref","unstructured":"Wani, M. A., & Rashid, S. (2005). Parallel algorithm for control chart pattern recognition. Paper presented at the Proceedings of the Fourth International Conference on Machine Learning and Applications (ICMLA2005).","DOI":"10.1109\/ICMLA.2005.51"},{"issue":"2","key":"1089_CR60","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/BF00175354","volume":"4","author":"D Whitley","year":"1994","unstructured":"Whitley, D. (1994). A genetic algorithm tutorial. Statistics and Computing, 4(2), 65\u201385. doi: 10.1007\/BF00175354 .","journal-title":"Statistics and Computing"},{"key":"1089_CR61","unstructured":"Western Electric Company (1958). Statistical quality control handbook. Indianapolis: Western Electric Co., Inc."},{"issue":"6","key":"1089_CR62","doi-asserted-by":"publisher","first-page":"2560","DOI":"10.1016\/j.ymssp.2006.12.007","volume":"21","author":"A Widodo","year":"2007","unstructured":"Widodo, A., & Yang, B. (2007). Support vector machine in machine condition monitoring and fault diagnosis. Mechanical Systems and Signal Processing, 21(6), 2560\u20132574. doi: 10.1016\/j.ymssp.2006.12.007 .","journal-title":"Mechanical Systems and Signal Processing"},{"issue":"1","key":"1089_CR63","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1016\/j.cie.2014.01.014","volume":"70","author":"P Xanthopoulos","year":"2014","unstructured":"Xanthopoulos, P., & Razzaghi, T. (2014). A weighted support vector machine method for control chart pattern recognition. Computers and Industrial Engineering, 70(1), 134\u2013149. doi: 10.1016\/j.cie.2014.01.014 .","journal-title":"Computers and Industrial Engineering"},{"key":"1089_CR64","doi-asserted-by":"publisher","unstructured":"Yang, W., & Zhou, W. (2013). Autoregressive coefficient-invariant control chart pattern recognition in autocorrelated manufacturing processes using neural network ensemble, pp. 1\u201320. doi: 10.1007\/s10845-013-0847-6 .","DOI":"10.1007\/s10845-013-0847-6"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-015-1089-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10845-015-1089-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-015-1089-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-015-1089-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,25]],"date-time":"2019-08-25T03:56:33Z","timestamp":1566705393000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10845-015-1089-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,16]]},"references-count":64,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["1089"],"URL":"https:\/\/doi.org\/10.1007\/s10845-015-1089-6","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,5,16]]}}}