| 自组织模糊CMAC神经网络及其非线性系统辨识 |
| |
| 引用本文： | 王源,胡寿松,齐俊伟.自组织模糊CMAC神经网络及其非线性系统辨识[J].航空学报,2001,22(6):556-558. |
| |
| 作者姓名： | 王源 胡寿松 齐俊伟 |
| |
| 作者单位： | 南京航空航天大学自动化学院 |
| |
| 基金项目： | 国家自然科学基金 ( 6 99740 2 1)，航空科学重点基金
( 98Z5 10 0 2 )，博士点基金 ( 2 0 0 0 0 2 870 4) |
| |
| 摘 要： | 针对CMAC的特点,提出了联想度的概念,并由此设计了一种自组织模糊 CMAC神经网络( SOFC-MAC)及其学习算法,证明了SOFCMAC能以任意精度对非线性特性一致逼近。该网络具有学习速度快,逼近精度高及局部泛化能力等特点。歼击机系统特征模型辨识仿真验证表明了该方法的有效性。
|
| 关 键 词： | CMAC 模糊神经网络 系统辨识 |
| 文章编号： | 1000-6893(2001)06-0556-03 |
| 修稿时间： | 2000年10月8日 |
SELF-ORGANIZING FUZZY CMAC NEURAL NETWORK AND ITS NONLINEAR SYSTEM IDENTIFICATION |
| |
| WANG Yuan,HU Shou\|song,QI Jun\|wei.SELF-ORGANIZING FUZZY CMAC NEURAL NETWORK AND ITS NONLINEAR SYSTEM IDENTIFICATION[J].Acta Aeronautica et Astronautica Sinica,2001,22(6):556-558. |
| |
| Authors: | WANG Yuan HU Shou\|song QI Jun\|wei |
| |
| Institution: | College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China |
| |
| Abstract: | A concept of association degree is proposed and further a self\|organizing fuzzy CMAC neural network and its learning algorithm are presented based on CMAC. And it is proved that the approximations provided by the SOFCMAC can be made arbitrarily accurate. The proposed network capable of local generalization is characterized by fast learning, accurate approximation, \%etc\%. In this paper, the network is used in fighter identification and satisfactory result is obtained. |
| |
| Keywords: | CMAC fuzzy neural networks system identification |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《航空学报》浏览原始摘要信息 |
| 点击此处可从《航空学报》下载免费的PDF全文 |
