Firstly,the paper utilizes kernel principal component analysis method to realize reduce the dimension of the input vectors and orthogonalize the components of the input vectors.
首先利用核主元分析实现输入变量和去相关,然后运用小波神经络建立预测模型。
Firstly,the paper utilizes kernel principal component analysis method to realize reduce the dimension of the input vectors and orthogonalize the components of the input vectors.
首先利用核主元分析实现输入变量和去相关,然后运用小波神经络建立预测模型。
声明:以上例、词分类均由互联资源自动生成,部分未经过人工审核,其表达内容亦不代表本软件观点;若发现问题,欢迎向我们指正。