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PSO的RBFNN优化程序 算法步骤 1.样本数据归一化处理,即将输入输出归一化到[-1,1]区间; 2.确定RBF网络的中心和宽度; 3.以拟合误差的均方根作为性能指标,使用PSO算法优化RBF网络输出层到隐层的连接权值矩阵-PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about input and output normalized to [-1,1] interval 2. To determine the center and width of the RBF network 3. To the fitting error of the mean square roots as a performance index, using the PSO algorithm to optimize RBF network output layer to hidden layer connection weight matrices
Date : 2025-12-31 Size : 4kb User : aKON
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