摘要
针对灌区运行状况,采用高维降维技术———投影寻踪分类模型(PPC),利用基于实数编码的加速遗传算法(RAGA)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,从而做出评价,最大限度避免了灰色关联法评判中权重矩阵取值的人为干扰,取得了满意的效果,为灌区运行状况评价及其它评判问题提供一条新的方法与思路。
Through applying PPC model based on RAGA in the irrigation schemes, the authors turn multi-dimension data into low dimension space . So the optimum projection direction can stand for the best influence to the collectivity. Thus, the value of projection function can evaluate each item. The PPC model can avoid jamming of weight matrix in the method of grey relation, and obtain better result. It provides a new method and thought for comprehensive evaluation of irrigation scheme and other relative study.
出处
《水土保持研究》
CSCD
北大核心
2006年第5期87-89,共3页
Research of Soil and Water Conservation
关键词
RAGA
PPC
灌区
综合评价
RAGA
PPC
irrigation area
comprehensive evaluateion
