Artificial Neural Networks Applied in Environmental Quality Assessment

摘要：

The problem of environmental quality assessment is a pattern recognition problem, and a well-trained ANN can exploit the underlying nonlinear relationships that determine the environmental rating of a region. In this study, we are trying with the neural network model to make an effective analysis for environmental quality assessment. A 4-9-1 threelayer feedforward neural network using the backpropagation and Levenberg-Marquardt algorithms has been used in the proposed artificial neural network. The case study shows that this neural network is efficient and forms a useful tool for the prediction of environmental quality.

关键词： artificial neural network backpropagation algorithm Levenberg-Marquardt algorithm environmental quality assessment

作者: Liu Yijun Tang Jiali Jiang Hongfen Zhu Guangping Yu Zhimin

作者单位: School of Computer Engineering Jiangsu Teachers University of Technology Changzhou, China

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

会议地点: 成都

会议语种:英文

页码: 546-549

在线出版日期: 2010-07-07（万方平台首次上网日期，不代表论文的发表时间）