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On-Line Real Time Realization and Application of Adaptive Fuzzy Inference Neural Network

On-Line Real Time Realization and Application of Adaptive Fuzzy Inference Neural Network
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摘要 In this paper, a modeling algorithm developed by transferring the adaptive fuzzy inference neural network into an on-line real time algorithm, combining the algorithm with conventional system identification method and applying them to separate identification of nonlinear multi-variable systems is introduced and discussed. In this paper, a modeling algorithm developed by transferring the adaptive fuzzy inference neural network into an on-line real time algorithm, combining the algorithm with conventional system identification method and applying them to separate identification of nonlinear multi-variable systems is introduced and discussed.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2000年第1期67-74,共8页 系统工程与电子技术(英文版)
关键词 Fuzzy control Identification (control systems) Inference engines Learning algorithms Mathematical models Multivariable control systems Neural networks Nonlinear control systems Real time systems Fuzzy control Identification (control systems) Inference engines Learning algorithms Mathematical models Multivariable control systems Neural networks Nonlinear control systems Real time systems
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