遗传算法改进BP神经网络在地下水水质评价中的应用

Application of Imoproved BP Neural Networks Based on Genetic Algorithms to Groundwater Quality Evaluation

为了准确、高效地评定地下水水质,提出了一种遗传算法与神经网络相结合的混合评价算法,针对水质评价的多变量和非线性,采用BP神经网络对其进行综合评价计算,BP算法易陷入局部极小的缺点则通过引入遗传算法来克服,将两者有机的结合起来实现神经网络的训练和知识库的建立.通过算法比较和实例结果分析,证明了该算法的有效性.

A hybrid evaluation algorithm is proposed in this paper by combining BP neural network with genetic algorithms,in order to evaluate groundwater quality accurately and efficiently.In view of the multi-variable and nonlinear characteristics of water assessment,BP neural network is introduced here to make comprehensive evaluation and calculation.As for the shortcoming that BP algorithm is easily trapped to a local optimum,it can be overcomed through the introduction of genetic algorithms,and the two will work ...