Intelligent Control of the Complex Technology Process Based on Adaptive Pattern Clustering and Feature Map
A kind of fuzzy neural networks (FNNs) based on adaptive pattern clustering and feature map (APCFM) is proposed to improve the property of the large delay and time varying of the sintering process. By using the density clustering and learning vector quantization (LVQ), the sintering process is divid...
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| Veröffentlicht in: | Mathematical Problems in Engineering 2008-01, Vol.2008 (1), p.1179-1187 |
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| creator | Cheng, Wushan |
| description | A kind of fuzzy neural networks (FNNs) based on adaptive pattern clustering and feature map (APCFM) is proposed to improve the property of the large delay and time varying of the sintering process. By using the density clustering and learning vector quantization (LVQ), the sintering process is divided automatically into subclasses which have similar clustering center and labeled fitting number. Then these labeled subclass samples are taken into fuzzy neural network (FNN) to be trained; this network is used to solve the prediction problem of the burning through point (BTP). Using the 707 groups of actual training process data and the FNN to train APCFM algorithm, experiments prove that the system has stronger robustness and wide generality in clustering analysis and feature extraction. |
| doi_str_mv | 10.1155/2008/783278 |
| format | Article |
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Using the 707 groups of actual training process data and the FNN to train APCFM algorithm, experiments prove that the system has stronger robustness and wide generality in clustering analysis and feature extraction.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2008/783278</identifier><language>eng</language><publisher>New York: Hindawi Limiteds</publisher><subject>Adaptive control ; Algorithms ; Artificial neural networks ; Cluster analysis ; Clustering ; Engineering ; Feature extraction ; Feature maps ; Fuzzy control ; Fuzzy logic ; Genetic algorithms ; Learning vector quantization networks ; Linguistics ; Neural networks ; Sintering ; Studies</subject><ispartof>Mathematical Problems in Engineering, 2008-01, Vol.2008 (1), p.1179-1187</ispartof><rights>Copyright © 2008</rights><rights>Copyright © 2008 Wushan Cheng et al. 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| ispartof | Mathematical Problems in Engineering, 2008-01, Vol.2008 (1), p.1179-1187 |
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| source | Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Adaptive control Algorithms Artificial neural networks Cluster analysis Clustering Engineering Feature extraction Feature maps Fuzzy control Fuzzy logic Genetic algorithms Learning vector quantization networks Linguistics Neural networks Sintering Studies |
| title | Intelligent Control of the Complex Technology Process Based on Adaptive Pattern Clustering and Feature Map |
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