摘要
通过对哈尔滨市郊5个灌区的各项功能参数指标资料的收集与整理,采用高维降维技术投影寻踪分类模型(PPC),利用基于实码加速免疫遗传算法(RAIGA)优化其投影方向,将多维数据指标(样本评价指标)转换到低维子空间,根据投影函数值的大小评价出样本的优劣,从而做出决策,为各灌区进行评价排序,了解灌区的运行状况。
The paper collected and settled the each parameter index of the five irrigations in Harbin, the multi- dimensional dimension- reduction technology of Projection Pursuit Classification Model（PPC） is utilized to converse the high dimension indexes（Sample Evaluation Index） into low dimension space through using Real - number coding Acceleration Genetic Algorithm（RAIGA） to optimize their projection direction. The quality of the projection value of the scheme was appraised to make decision, ranked irrigation schemes, realized the running condition.
出处
《水利科技与经济》
2009年第2期132-134,共3页
Water Conservancy Science and Technology and Economy
关键词
免疫遗传算法
投影寻踪
灌区
综合评价
immune genetic algorithms
projection pursuit
irrigation scheme
comprehensive evaluation
