| The Fuzzy Modeling Algorithm for Complex Systems Based on Stochastic Neural Network |
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| 作者姓名： | 李波 张世英 李银惠 |
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| 作者单位： | Li Bo，Zhang Shiying & Li Yinhui School of Management，Tianjin University，Tianjin 300072，P.R.China |
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| 摘 要： | The Fuzzy Modeling Algorithm for Complex Systems Based on Stochastic Neural Network~~~~
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The Fuzzy Modeling Algorithm for Complex Systems Based on Stochastic Neural Network |
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| Li Bo,Zhang Shiying & Li Yinhui School of Management,Tianjin University,Tianjin ,P.R.China.The Fuzzy Modeling Algorithm for Complex Systems Based on Stochastic Neural Network[J].Journal of Systems Engineering and Electronics,2002,13(3). |
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| Authors: | Li Bo Zhang Shiying & Li Yinhui School of Management Tianjin University Tianjin PRChina |
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| Institution: | School of Management, Tianjin University, Tianjin 300072, P. R. China |
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| Abstract: | A fuzzy modeling method for complex systems is studied. The notation of general stochastic neural network (GSNN) is presented and a new modeling method is given based on the combination of the modified Takagi and Sugeno's (MTS) fuzzy model and one-order GSNN. Using expectation-maximization(EM) algorithm, parameter estimation and model selection procedures are given. It avoids the shortcomings brought by other methods such as BP algorithm, when the number of parameters is large, BP algorithm is still difficult to apply directly without fine tuning and subjective tinkering. Finally, the simulated example demonstrates the effectiveness. |
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| Keywords: | Complex system modeling General stochastic neural network MTS fuzzy model Expectation-maximization algorithm |
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