遗传算法—人工神经网络应用于城市污水量预测

Applicaton of the Genetic Algorithm and Artificial Neural Network to the predication of the urban wastewater discharge

针对BP人工神经网络收敛速度慢和易于陷入极小值等缺点,提出了采用遗传算法优化神经网络权重及阈值的方法,并据此建立了基于遗传算法的人工神经网络预测模型,利用该模型对武汉市武昌北区城市污水量进行预测,结果表明该模型适用于城市污水量的预测。

To solve slow convergence speed and being prone to converge to minimum of the tranditional Backup Propagation Artificial Neural Network （BP-ANN） which is its main problem, this paper raises the Genetic Algorithm （GA） to optimize the weights of the BP-ANN and therefoe develops the BP-ANN model based on GA. Moreover this paper uses this model to predict and simulate the urban wastewater discharge of north part of Wuchang district in Wuhan city. According to the comparation of the result computed therefore this model can be applied to the predication of this field.