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。
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
出处
《四川环境》
2003年第3期73-75,79,共4页
Sichuan Environment
基金
西南师范大学自然科研基金资助项目( 2 0 0 1-博 - 5)
关键词
GA-BP模型
遗传算法
BP算法
权重训练
环境评价
GA-BP Model
genetic algorithm
BP algorithm
weight training
environmental as sessment
