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On-Line Real Time Realization and Application of Adaptive Fuzzy Inference Neural Network |
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| Authors: | Han Jianguo Guo Junchao Zhao Qian |
| Abstract: | 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. |
| Keywords: | Adaptive fuzzy inference neural network Conventional system identification GaosNewton recursive one-step error forecast algorithm Nonlinear multi-variable system with mixed input/output paths Separate identification. |
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