基于单形进化的径向基网络训练算法

doi:10.3969/j.issn.0255-8297.2019.04.003

应用科学学报 ›› 2019, Vol. 37 ›› Issue (4): 459-468.doi: 10.3969/j.issn.0255-8297.2019.04.003

基于单形进化的径向基网络训练算法

魏巍, 全海燕

昆明理工大学信息工程与自动化学院, 昆明 650504

收稿日期:2018-06-27 修回日期:2018-12-26 出版日期:2019-07-31 发布日期:2019-10-11
通信作者: 全海燕,副教授,研究方向:信号处理、智能优化,E-mail:quanhaiyan@163.com E-mail:quanhaiyan@163.com
基金资助:
国家自然科学基金（No.41364002）资助

Radial Basis Network Training Algorithm Based on Surface-Simplex Swarm Evolution

WEI Wei, QUAN Haiyan

Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650504, China

Received:2018-06-27 Revised:2018-12-26 Online:2019-07-31 Published:2019-10-11

摘要/Abstract

摘要： 在引入智能优化算法的径向基神经网络训练算法中，智能优化算法的控制参数对该算法的学习性能影响很大.为此，提出了一种基于单形进化的径向基神经网络训练算法.该算法基于单形邻域的全随机搜索方法减少算法控制参数，借助群体的多角色态保持粒子的多样性，避免算法陷入局部极值点.仿真结果表明：相比于其他算法，该算法训练的径向基神经网络不仅有效提高了识别率，而且减少了控制参数对学习性能的影响，提高了算法的普适性与鲁棒性.

关键词: 径向基函数神经网络, 智能优化, 随机搜索, 进化策略, 模式识别

Abstract: The control parameters of intelligent optimization algorithm have a great influence on the learning performance of intelligent optimization algorithm. In order to solve this problem, a radial neural network training algorithm based on simplex evolution is proposed. It uses a one-dimensional neighbor based full random search method to reduce the number of control parameters, maintain the particle diversity through the group multicolor state, and avoid the algorithm falling into the local extremum point. Simulation results show that the algorithm not only improves the recognition rate but also reduces the influence of control parameters on learning performance. The generalization and robustness of the algorithm are improved.

Key words: radial basis function (RBF) neural network, intelligent optimization, random search, evolutionary strategy, pattern recognition

中图分类号:

TP183

魏巍, 全海燕. 基于单形进化的径向基网络训练算法[J]. 应用科学学报, 2019, 37(4): 459-468.

WEI Wei, QUAN Haiyan. Radial Basis Network Training Algorithm Based on Surface-Simplex Swarm Evolution[J]. Journal of Applied Sciences, 2019, 37(4): 459-468.

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基于单形进化的径向基网络训练算法

Radial Basis Network Training Algorithm Based on Surface-Simplex Swarm Evolution

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