地理科学

地理科学 ›› 2003, Vol. 23 ›› Issue (2): 236-239.doi: 10.13249/j.cnki.sgs.2003.02.236

• 研究报道 • 上一篇    下一篇

基于加速遗传算法的投影寻踪模型在水质评价中的应用研究

付强1,3, 付红2, 王立坤1   

  1. 1. 东北农业大学水利与建筑学院, 黑龙江 哈尔滨 150030;
    2. 东北农业大学 基础部, 黑龙江 哈尔滨 150030;
    3. 四川大学水电学院, 四川 成都 610065
  • 出版日期:2003-03-20 发布日期:2003-03-20
  • 基金资助:
    中国博士后科学基金(2000)与四川大学青年基金项目(432028)资助。

Study on the PPE Model Based on RAGA to Evaluating the Water Quality

FU Qiang1,3, FU Hong2, WANG Li-Kun1   

  1. 1. College of Hydraulic & Architecture, Northeast Agricultural University, Harbin, Heilongjiang 150030;
    2. Basic Department, Northeast Agricultural University, Harbin, Heilongjiang 150030;
    3. College of Hydraulic, Sichuan University, Chengdu, Sichuan 610065
  • Online:2003-03-20 Published:2003-03-20

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被引次数

238 | 22

摘要： 提出将改进的实码加速遗传算法(RAGA)与投影寻踪评价模型(PPE)相结合,同时优化多维参数(投影方向),建立了多元数据分类与评价模型。对长春南湖水的营养状态做出了评价,取得满意效果,为水质分析与评价提供一种新的方法与思路。

Abstract: The authors improved the traditional genetic algorithm, and combined the new method named RAGA (Real coding based on Accelerating Genetic Algorithm) with PPE (Projection Pursuit Evaluation) model. The RAGA-PPE model can optimize several parameters at one time. Based on this method, the authors built up a new evaluating model. Through applying the new model to evaluating the water nutrient states of South Lake in Changchun, the authors gained the good results. Thus, the authors provided an new method and thought for readers who engage in researching the water quality evaluation.

中图分类号: 

  • P349