基于遗传算法的投影寻踪模型对小花碱茅最佳收获期的判定  

Evaluation on the Optimal Harvest Time of Puccinellia tenuiflora Based on RAGA-PP Model

作　　者：关法春[1,2] 梁正伟[1] 

机构地区：[1]中国科学院东北地理与农业生态所,吉林长春130012 [2]中国科学院研究生院,北京100049

出　　处：《农业系统科学与综合研究》2009年第3期336-339,共4页System Sciemces and Comprehensive Studies In Agriculture

基　　金：国家科技支撑重大项目(2007BAD65B02-62006BAC01A08);国家科技部"973"项目(2007CB106800)

摘　　要：针对小花碱茅实际生产中最佳收获期难于客观确定的问题,提出基于加速遗传算法的投影寻踪模型用于解决小花碱茅(Puccinellia tenuiflora)最佳收获期的判定问题,该模型通过优化指标投影方向,将多维数据指标(样本评价指标)转换到低维子空间,并根据投影函数值的大小评价出各样本的优劣,最大限度地避免了权重矩阵取值的人为干扰。结果表明:初花期收获各指标投影函数值最大,这个时期收获的牧草具有相对较高的营养价值和产量,并具有相对较低的粗纤维含量,因而这个时期收获综合评价值最高。图1,表2,参18。In order to ascertain the optimal harvest time of Puccinellia terurflora in practical production scientifically, PPC （Projection Pursuit Classification） model based on RAGA （Real coding based Accelerating Genetic Algorithm） was applied. Projection direction was optimized and high-dimension data were converted into low-dimension space with PPC,and the value of projection indexes was obtained. Based on these projection function values, the sequence of samples from the big to the small was gained. At the same time, subjective impact on weight matrix farthest could be avoided with PPC model. The results showed that the initial bloom stage have the biggest value of projection indexes, and its comprehen- sive evaluation is the best. Puccinellia tenaiflora harvested in the initial bloom stage had higher nutritive value, higher output and lower coarse fiber content. Tnis model offered a new method to solve the evaluating problem of the optimal harvest time of Puccinellia tenuiflora.

关 键 词：小花碱茅 最佳收获期 评定 遗传算法 投影寻踪 

分 类 号：S156.4[农业科学—土壤学]