Application of Artificial Neural Network to the Assessment Environmental Quality of Urban wetland in Northeast China

文献类型： 外文期刊

第一作者： Li Ji-guang

作者： Li Ji-guang;Ren Yi-bin;Ren Nan-qi;Li Ji-guang;Wang Qi-shuo;Tian Shuangqi;He Ji-wei;Wang He;Ren Nan-qi

作者机构：

关键词： Artificial neural network;Urban wetland;Environment quality

期刊名称：ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6

ISSN： 1022-6680

年卷期： 2012 年 518-523 卷

页码：

收录情况： SCI

摘要： North shore of Songhua river is the major development zone in carrying out the program of enlarging urban areas along river regions in Harbin. In this paper, the authors regard urban wetland of Harbin in north shore of Songhua river as the research object, B-P artificial neural network is applied to build the assessment model of the eco-environmental quality. The authors take 6 factors for samples to be evaluated, the well trained network is used to assess eco-environmental quality, The overall evaluation result being indicates that overall ecological environment mass of wetland in north shore of Songhua river is with difficulty qualified (0.6116), and by investigation and analysis, it turns out that the assessing results accord well with the actual situation, and provides the theory basis for the urban wetland healthy development. At the same time, applying artificial neural network model to wetland ecological environment quality evaluation, specifically for different ecosystem increasing network secret node or lays numbers come rise neural networks learning ability and train effect.

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