多层RBF网络的自适应遗传算法及其在实函数逼近中的应用
Journal of Anhui University of Technology(Natural Science)(2013)
Abstract
将自适应遗传算法应用于多层RBF神经网络的学习,对隐层核函数的中心和宽度值进行同时优化,并用正则最小二乘法求权重,以完成网络的构建。应用该学习法进行实函数的逼近,实验证明了该算法比多层RBF网络的聚类学习法具有更高的实函数逼近精度。
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Key words
multilayer RBF network,adaptive genetic algorithm,approximation of real function
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