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J.P.F. Sum, W.-K. Kan and G.H. Young
Book Chapter
Nonlinear Identification Using Fuzzy Models
Advances in Industrial Control, 2005, Fuzzy Logic, Identification and Predictive Control, Part I, Pages 91-120
Soft Sensor Design
Advances in Industrial Control, 2007, Soft Sensors for Monitoring and Control of Industrial Processes, Pages 27-51
Adapting Soft Sensors to Applications
Advances in Industrial Control, 2007, Soft Sensors for Monitoring and Control of Industrial Processes, Pages 167-182
Neural Networks for fMRI Spatio-temporal Analysis
Luo Huaien and Sadasivan Puthusserypady
Lecture Notes in Computer Science, 2004, Volume 3316, Neural Information Processing, Pages 1292-1297
Soft Sensing
Guillermo D. González
Advances in Industrial Control, 2010, Advanced Control and Supervision of Mineral Processing Plants, Pages 143-212
Artificial Immune Regulation (AIR) for Model-Based Fault Diagnosis
Guan-Chun Luh, Chun-Yin Wu and Wei-Chong Cheng
Lecture Notes in Computer Science, 2004, Volume 3239, Artificial Immune Systems, Pages 28-41
Comprehensive Study and Applications of P1-TS Systems
Jasek Kluska
Studies in Fuzziness and Soft Computing, 2009, Volume 241, Analytical Methods in Fuzzy Modeling and Control, Pages 101-182
Neural Networks and Lookup Tables for Identification
Rolf Isermann and Marco Münchhof
2011, Identification of Dynamic Systems, Part 6, Pages 501-537
Dynamic Model Identification of 2-Axes PAM Robot Arm Using Neural MIMO NARX Model
Kyoung Kwan Ahn and Ho Pham Huy Anh
Lecture Notes in Computer Science, 2009, Volume 5754, Emerging Intelligent Computing Technology and Applications, Pages 473-479
Comparison of Neural Networks and Support Vector Machine Dynamic Models for State Estimation in Semiautogenous Mills
Gonzalo Acuña and Millaray Curilem
Lecture Notes in Computer Science, 2009, Volume 5845, MICAI 2009: Advances in Artificial Intelligence, Pages 478-487
Key words.Extended Kalman filter; Model equivalence; NARX model; Output feedback control; Pruning; Recurrent neural networks; Recursive least square; Training complexity
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