Application of Projection Pursuit Model in Agricultural Production Conditions Evaluation
In the case of agricultural production conditions without evaluating criterion, genetic algorithm was utilized to optimize the projection direction of projection pursuit classification model,which can combine convert multidimensional data indexes to lower dimensional subspace.Agricultural production conditions of the cities in Henan privence were evaluated based on seeking optimal projection direction and projection value, and man-made disturbance of subjective weight determination was avoided. The results show that the method was reliable alld simple, it can be applied to other fields.
Agricultural Production Conditions evaluation Projection Pursuit Genetic algorithm
Li-Juan LEI Jian WEN Jian-Lin ZHANG
College of Information & Management Science, Henan Agricultural University,Zhengzhou,450002, China College of Science, Zhongyuan University of Technology, Zhengzhou, 450002,China
国际会议
The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)
无锡
英文
281-284
2010-06-04(万方平台首次上网日期,不代表论文的发表时间)