摘要
针对核主成分方法应用时核函数参数确定困难,提出建立基于贡献率的优化问题,并用实码加速遗传算法对其实施优化求解,客观地确定了各参数的值,并将该核主成分方法应用于水资源可持续利用综合评价问题中,取得了良好的效果。
According to the choice of kernel function parameters in the kernel principal component method, an optimization question based on the contribution rate is established. The real coded accelerating genetic algorithm is used to find an optimization solution. The values of the parameters are determined objectively. The kernel principal component method was used to evaluate and analyze water resource_z sustainable ufliT^tion, and a satisfaetory result was obtained.
出处
《水利水电科技进展》
CSCD
北大核心
2009年第4期36-38,66,共4页
Advances in Science and Technology of Water Resources
关键词
水资源可持续利用
综合评价
核主成分分析
参数优化
加速遗传算法
water resources sustainable ufilizafion
comprehensive evaluation
kernel principal components analysis
parameter optimization
accelerating genetic algorithm
