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空气质量降维B-P神经网络评价法及其MATLAB实现
简介: 用主成分分析将多维空间的样本数据降维到低维空间，将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。-Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sample data in multidimensional space dimension to low-dimensional space, as the input of BP network. BP network algorithm using LM optimization method. The network describes the MATLAB programming language implementation process.
简介: 用主成分分析将多维空间的样本数据降维到低维空间，将其作为BP网络的输入。BP网络的算法采用LM优化法。描述了该网络的MATLAB程序语言实现过程。-Air quality dimension reduction BP neural network uation method on MATLAB Introduction: Using principal component analysis will drop the sample data in multidimensional space dimension to low-dimensional space, as the input of BP network. BP network algorithm using LM optimization method. The network describes the MATLAB programming language implementation process.
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空气质量降维B_P神经网络评价法及其MATLAB实现.pdf