| 模糊 RBF 网络简化模型研究 |
| |
| 引用本文： | 鲍鸿,黄心汉,李锡雄.模糊 RBF 网络简化模型研究[J].华中科技大学学报(自然科学版),1998(9). |
| |
| 作者姓名： | 鲍鸿 黄心汉 李锡雄 |
| |
| 作者单位： | 广东工业大学电气工程及自动化系(鲍鸿，李锡雄)，华中理工大学自动控制工程系(黄心汉) |
| |
| 摘 要： | 在一定的前提条件下，提出一种简化的模糊ＲＢＦ网络模型．该网络由输入层、模糊化层、模糊联结层、合成联结层和输出层组成．同时，还给出网络的构造方法和自学习方法．仿真结果表明此网络对非线性、多变量函数具有良好的逼近能力．
|
| 关 键 词： | 模糊逻辑 神经网络 人工智能 智能控制 函数逼近 |
A Simplified Model of Fuzzy Neural Network |
| |
| Bao Hong,Huang Xinhan,Li Xixiong.A Simplified Model of Fuzzy Neural Network[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1998(9). |
| |
| Authors: | Bao Hong Huang Xinhan Li Xixiong |
| |
| Institution: | Bao Hong Huang Xinhan Li Xixiong |
| |
| Abstract: | If fuzzy neural network is constructed by prototype RBF network directly, the size of network will be too large to apply when the system is multivariable. A new simplified model of fuzzy RBF networks is presented based on the functional equivalence between the fuzzy inference system and the radial basis function (RBF) network. The self construction method and self learning algorithms of this simplified model are discussed. Finally, a computer simulation is given. The simulation results show that the fuzzy network simplified model has a quite satisfied approximability to a nonlinear and multivariable function. |
| |
| Keywords: | fuzzy logic neural network artificial intelligence intelligent control function approximation |
| 本文献已被 CNKI 等数据库收录！ |
