期刊文献+

模糊 RBF 网络简化模型研究 被引量:3

A Simplified Model of Fuzzy Neural Network
下载PDF
导出
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. 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.
出处 《华中理工大学学报》 CSCD 北大核心 1998年第9期30-33,共4页 Journal of Huazhong University of Science and Technology
基金 广东省自然科学基金
关键词 模糊逻辑 神经网络 人工智能 智能控制 RBF网络 fuzzy logic neural network artificial intelligence intelligent control function approximation
  • 引文网络
  • 相关文献

参考文献1

  • 1赵振宇,模糊理论和神经网络的基础与应用,1996年

同被引文献6

引证文献3

二级引证文献14

;
使用帮助 返回顶部