| 模糊逻辑的神经网络实现 |
| |
| 引用本文： | 徐嗣鑫,丁维明,朱松钧.模糊逻辑的神经网络实现[J].南京航空航天大学学报,1994(Z1). |
| |
| 作者姓名： | 徐嗣鑫 丁维明 朱松钧 |
| |
| 作者单位： | 东南大学自动化研究所，东南大学热能研究所 |
| |
| 摘 要： | 研究了模糊控制中，模糊推理规则由多层神经网络实现问题。将模糊推理规则中的每一个规则的前件知识，直接嵌入神经网络的权中，然后利用神经网络的自学习功能；自动辨识控制规则，且对隶属函数进行微调整。其学习方法主要采用误差逆传播算法。
|
| 关 键 词： | 神经网络，模糊推断，模糊控制，多层神经网络 |
Neural Network Implementation of Fuzzy Logic |
| |
| Xu Sixin.Neural Network Implementation of Fuzzy Logic[J].Journal of Nanjing University of Aeronautics & Astronautics,1994(Z1). |
| |
| Authors: | Xu Sixin |
| |
| Abstract: | The implemetation of fuzzy logic inference for fuzzy control Using a multi-layer neural network is investigated A natural neural architecture is proposed in which the a priori knowledge of each rule of fuzzy inference is embedded directly into the weights of the network With the new control system the control rules can be automatically identified and the membership functions tuned by utilizing the learning capability of neural networks. Error backpropagation algorithms are used in the way it learns. |
| |
| Keywords: | neural networks fuzzy inference fuzzy control multi-layer neural networks |
| 本文献已被 CNKI 等数据库收录！ |
