| 模糊神经元及其在FCMAC中的应用 |
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| 引用本文： | 赵承滨,宋清昆.模糊神经元及其在FCMAC中的应用[J].自动化技术与应用,2003,22(10):10-13. |
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| 作者姓名： | 赵承滨 宋清昆 |
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| 作者单位： | 哈尔滨理工大学,黑龙江,哈尔滨,150080 |
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| 摘 要： | 本文通过对模糊集合与神经网络的特点及相互关系的阐述，引出将二者优点结合于一身的模糊神经网络理论。从模糊神经元开始，着重介绍其拓扑结构、分类、隶属函数的特点及相应激励函数的确定方法。最后以模糊小脑神经网络(FCMAC)为算例，阐述了模糊神经元的应用问题。仿真结果表明：它具有比常规CMAC学习速度快，结果精确等优势。
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| 关 键 词： | 模糊神经元 FCMAC 模糊控制 模糊小脑神经网络 隶属函数 激励函数 |
| 文章编号： | 1003-7241(2003)10-0010-04 |
The Fuzzy Neuron and its Application in FCMAC |
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| ZHAO Cheng-bin,SONG Qing-kun.The Fuzzy Neuron and its Application in FCMAC[J].Techniques of Automation and Applications,2003,22(10):10-13. |
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| Authors: | ZHAO Cheng-bin SONG Qing-kun |
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| Abstract: | By introducing the characteristics and relationship between the fuzzy sets and the neural network,this paper presents theory of fuzzy neural which combines their features.The topological structure of the fuzzy neuron its classification,the characteristic of membership function and the definition method of activation function are discussed.An example of FCMAC controller is given.The simulation result indicated that it is accurate and fast compared with the CMAC. |
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| Keywords: | Fuzzy sets Neural network Membership function FCMAC |
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