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| 自适应模糊推理人工神经网络在线实时化及其应用 | |
| 引用本文： | 韩建国,魏祥毓.自适应模糊推理人工神经网络在线实时化及其应用[J].系统工程与电子技术,1998(7). |
| 作者姓名： | 韩建国 魏祥毓 |
| 作者单位： | 北京化工大学自动化系 |
| 摘 要： | 本文介绍一种自适应模糊推理人工神经网络的函数逼近算法，并对其进行在线实时化改造。最后将该算法与传统系统辨识方法相结合应用于复杂系统分离辨识的试验。 |
| 关 键 词： | 人造神经系统，模糊算法，非线性系统，误差控制 |
On Line Real Time Transformation and Application of Adaptive Fuzzy Inference Neural Network |
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| Han Jianguo and Wei Xiangyu.On Line Real Time Transformation and Application of Adaptive Fuzzy Inference Neural Network[J].System Engineering and Electronics,1998(7). | |
| Authors: | Han Jianguo and Wei Xiangyu |
| Institution: | Han Jianguo and Wei Xiangyu Department of Automation,Beijing University of Chemical Technology,100029 |
| Abstract: | In this paper an experiment is introduced,which refers to transfering 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 seperate identification of nonlinear multi variable systems. |
| Keywords: | Adaptive fuzzy inference neural network Conventional system identification Gaos Newton recursive on step error forcast algorithm Nonlinear multi variable system with mixed input/output paths Seperate identification |
| 本文献已被 CNKI 等数据库收录！ | |