加权模糊神经网络模型的粒子群优化

2012 Third Global Congress on Intelligent Systems Pub Date : 2012-11-06 DOI:10.1109/GCIS.2012.12

Ming Ma, Li-Biao Zhang

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引用次数: 1

摘要

粒子群算法在许多优化问题中得到了应用。本文提出了一种基于粒子群算法的模糊神经网络优化算法。采取一些措施避免算法陷入局部收敛，并根据有效规则确定模糊神经网络的结构。实验结果令人满意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Particle Swarm Optimization of Weighted Fuzzy Neural Network Model

Particle Swarm Optimization has been applied in many optimization problems. In this paper, we proposed a new algorithm based on PSO and applied to optimal the weighted fuzzy neural network. It takes some measures to avoid the algorithm into a local convergence and determine the structure of the fuzzy neural network based on the effective rules. Satisfactory results through experiments are obtained.

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2012 Third Global Congress on Intelligent Systems

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