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基于CGA和PPC模型的农机系统选型研究
引用本文:张静,杨宛章. 基于CGA和PPC模型的农机系统选型研究[J]. 天津农业科学, 2013, 0(7): 43-45
作者姓名:张静  杨宛章
作者单位:新疆农业大学新疆农业机械化发展研究中心
摘    要:以新疆巴里坤县动力机械选型为例,采用混沌遗传算法(CGA)进行投影寻踪分类(PPC)建模,对备选农机系统进行优劣排序;并与传统的模糊综合评判法进行对比分析,进一步说明了该方法的优势,得到了较满意的结果。

关 键 词:混沌遗传算法  投影寻踪  农机系统  选型

Selection of Agricultural Machinery Types Based on CGA Algorithm and PPC Model
ZHANG Jing,YANG WAN-zhang. Selection of Agricultural Machinery Types Based on CGA Algorithm and PPC Model[J]. Tianjin Agricultural Sciences, 2013, 0(7): 43-45
Authors:ZHANG Jing  YANG WAN-zhang
Affiliation:(Xinjiang Agricultural Mechanization Development Research Center ,Xinjiang Agricultural University,Urumqi,Xinjiang 830052,China)
Abstract:The paper adopted projection pursuit classification model of chaos genetic algorithm which based on the data of farm machinery in Barkol county, Xinjiang, in order to sort native agricultural machinery system; and compared with the traditional fuzzy comprehensive evaluation method, further illustrated the advantages of this method, satisfactory results were obtained.
Keywords:chaos genetic algorithm   projection pursuit classification   farm machinery system   model selection
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