Firstly, it constructs a fitness function which Fisher discriminate function is optimized object, then WCPSO is used to optimize it by its many random particles to improve the performance of KPCA.
建立以Fisher判别函数为优化目标的适应度，利用粒子群算法中多个随机粒子实现核函数参数的优化，改善了核主元分析方法的性能。
Firstly, it constructs a fitness function which Fisher discriminate function is optimized object, then WCPSO is used to optimize it by its many random particles to improve the performance of KPCA.
建立以Fisher判别函数为优化目标的适应度，利用粒子群算法中多个随机粒子实现核函数参数的优化，改善了核主元分析方法的性能。
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