Artificial Neural Network Synthetic Evaluation on Scenarios of Water Resources Allocation

摘要：

Based on the analysis of different synthetic evaluation methods, the advantages and conveniences of artificial neural network (ANN) model were summarized which can avoid the difficulty of deciding weights for each evaluation index. To further test the model on evaluating scenarios of water resources allocation in Zhengzhou, evaluation index system was constructed according to certain principles; indices of different scenarios were quantified, from which training samples were derived; finally the ANN synthetic evaluation was applied. The evaluation results show that scenario 3 is preferred when water resources are abundant (p=50%), while scenario 4 is recommended at most of other time when water resources are scant (p=75%, 95%). This evaluation result is reasonable and fits well with the reality, and the model is worth of promoting.

关键词： ANN Synthetic Evaluation Scenario of Water Resources Allocation

作者: Yin Jun Wu Zening Lv Cuimei

作者单位: School of Water Conservancy and Environment Engineering, Zhengzhou University, Zhengzhou,P.R.China, 450002

会议类型: 国际会议

会议名称: The 15th International Conference on Industrial Engineering and Engineering Management(IE&EM2008)(第十五届工业工程与工程管理国际学术会议暨中国机械工程学会第11次工业工程年会)

会议地点: 郑州

会议语种:英文

在线出版日期: 2008-09-20（万方平台首次上网日期，不代表论文的发表时间）