基于神经网络的蔷薇河水质综合评价

基于BP神经网络的改进算法，提出了以Matlab7．0为平台的算法程序的人工神经网络水质评价模型。参照《地表水环境质量标准》（GB3838-2002），确定了神经网络学习和训练的样本以及模型的相应参数，并以流经连云港市蔷薇河的六个断面的水质数据为样本，进行水质综合评价分析。

Integrated appraisal of water quality for Qiangwei River based on neural network

Based on an improved Back Propagation (BP) neural network algorithm, an artificial neural network water quality appraisal model was proposed, with Matlab7.0 as the platform. The learning and training samples, corresponding parameter of the model were determined referring to the Environmental Quality Standards for Surface Water(GB 3838-2002). The integrated appraisal of water quality was analyzed with the water quality data from six sections in Qiangwei River, which flows through Lianyungang City.