摘要
针对坡耕地水土保持牧草选择问题,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,从而做出决策,最大限度避免了灰色关联法评判中的人为干扰,取得了满意的效果,为坡耕地水土保持牧草选择及其它评判决策问题提供一条新的方法与思路。
Through applying PPC model base on RAGA in the grasses of sloping field, the author turns 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 good or not. The PPC model can avoid jamming of weight matrix in the method of grey relation, and obtain better result. A new method and thought is provided for readers who engaged in grasses of sloping field,and other relation study.
出处
《水土保持研究》
CSCD
北大核心
2007年第2期299-301,共3页
Research of Soil and Water Conservation
基金
塔里木大学校长基金资助项目(TDZKSS05018)
关键词
RAGA
PPC
坡耕地
水土保持
RAGA
PPC
sloping field
soil and water conservation
