Water quality evaluation model based on artificial bee colony algorithm and BP neural network
基于人工蜂群算法与BP神经网络的水质评价模型

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.