B-P网络隐含层对水质评价结果的影响分析

Influence of B-P Networks Hidden Layer on Water Quality Evaluation Result

运用人工神经网络理论和方法 ,建立了水质评价的 B-P网络模型 ;重点探讨了隐含层节点数的确定方法。通过对某市不同水域水质评价及多个实例的检验分析表明 。

Determining the number of hidden layer node and analyzing its influence on networks output are important problems in the application of Artificial Neural Networks (ANN). On the basis of ANN theory, a B-P networks model about water quality evaluation is established. The method determining the number of hidden layer node is mainly studied in this paper. Case studies show that the choice of the number of hidden layer node in certain range has not influence on the water quality evaluation result.