环境工程学报2012，Vol.6Issue(2)：699-704,6.
基于人工蜂群算法与BP神经网络的水质评价模型
Water quality evaluation model based on artificial bee colony algorithm and BP neural network
摘要
Abstract
Aimed at the shortage of BP neural network in water quality assessment model,the artificial bee colony（ABC） algorithm was introduced.Weight and threshold problem of BP neural network was transformed to the process of searching the best nectar for honey bees.An improved water quality evaluation method was put forward which combines artificial bee colony algorithm and BP neural network（ABC-BP）.10 groups measured data of Weihe River in 2000—2006 year are used as the test samples and are evaluated.The experimental results indicate that the quality assessment values are accurate by using the proposed method,and the algorithm has strong stability and robustness.关键词
神经网络/人工蜂群（ABC）算法/水质评价Key words
neural network/artificial bee colony（ABC） algorithm/water quality evaluation分类
资源环境引用本文复制引用
苏彩红,向娜,陈广义,王飞..基于人工蜂群算法与BP神经网络的水质评价模型[J].环境工程学报,2012,6(2):699-704,6.基金项目
佛山市科技发展专项基金 （）
广东省2009度安全生产科技发展项目 （）
