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基于遗传神经网络模型的大气环境质量评价方法
The Method of Atmospheric Environmental Quality Assessment Based on GA-BP Model
【摘要】 设计了用遗传算法训练神经网络权重的新方法 ,实验结果显示了遗传算法快速学习网络权重和全局搜索的能力 ,有效地解决了BP算法的局部收敛问题。误差反向传播的遗传———神经网络 (GA—BP)模型用于大气环境质量综合评价 ,具有简便、准确、客观和适应性强等优点
【Abstract】 A new method is designed for training connection weight of NN by using Genetics Algorithm The experiment indicates that Genetic Algorithm has the capability o f fast learning the weight of NN and escaping local optima T he GA-BP Model which based on error back propagation has advantages of simple , precise, objective and practicable for the assessment of atmospheric enviro nmental quality
【关键词】 GA—BP模型;
遗传算法;
BP算法;
权重训练;
环境评价;
【Key words】 GA-BP Model; genetic algorithm; BP algorithm; weight training; environmental as sessment;
【Key words】 GA-BP Model; genetic algorithm; BP algorithm; weight training; environmental as sessment;
【基金】 西南师范大学自然科研基金资助项目( 2 0 0 1-博 - 5)
- 【文献出处】 四川环境 ,Sichuan Environment , 编辑部邮箱 ,2003年03期
- 【分类号】X823
- 【被引频次】33
- 【下载频次】315