摘要
将投影寻踪 (PP)与实数编码的遗传算法 (RAGA)相结合 ,应用到农业机械的选型与优序关系研究中 ,通过寻求各种机型评价指标的最佳投影方向 ,将高维数据转换成一维投影指标值 ,实现对机器样本的分类与排序 ,从而克服了以往二阶模糊综合评判法及灰色系统评价法中权重取值的人为因素 ,取得了良好的效果。
The projection pursuit classification (PPC) model is a technique of falling high dimension and the real coding based accelerating genetic algorithm (RAGA) is a method of optimum. Through combining the PPC model and RAGA, the paper adopted the model to select the types of agricultural machine and its optimum order. The authors take the value targets of each machine type as a projection direction and turn high dimension data into low dimension projection value. Thus, the authors achieved the selection of machines and its optimum order. Based on this, the authors handled the jamming of weights calculated on two ranks fuzzy synthesize judge and gray system valuation. The paper provides a new idea for agricultural machine selecting and other falling high dimension and optimum issue.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2003年第1期101-103,107,共4页
Transactions of the Chinese Society for Agricultural Machinery
基金
中国博士后科学基金 (2 0 0 0 )
四川大学校青年基金资助项目 (项目编号 :43 2 0 2 8)
