Coupling Model Based on PCA-WNN for Comprehensive Evaluation of Water Quality

Water quality evaluation is an important basic work for the water environmental management and protection. This paper presents a new water quality monitoring method based on principal component analysis-wavelet neural network combined model. First, the establishment of water quality evaluation index system, and then using principal component analysis to remove the relevance, overlap information of indicators, the representative indexes obtained were standardized and imported into the wavelet network neural model, it is the results of network study that used for the water quality comprehensively monitoring.