模糊神经网络在黄河宁夏段水质评价中的应用  

The Application of Fuzzy Neural Network in Evaluation of the Yellow River Water Quality in Ningxia Section

作　　者：李晶[1] 李风军[1] 

机构地区：[1]宁夏大学数学与计算机学院,宁夏银川750021

出　　处：《宁夏师范学院学报》2013年第3期70-74,共5页Journal of Ningxia Normal University

基　　金：国家自然科学基金资助项目(61063020;11261042)

摘　　要：已有的关于黄河宁夏段水质评价结果基本上都受到评价者的主观因素影响而导致评价结果的客观性不足,准确性不高.鉴于此,利用模糊神经网络能够运用简单的一元函数的复合来实现复杂的多元函数,且自组织、自适应性强这些优势,着重对黄河宁夏段水体环境进行了综合评价.从而为黄河流域水污染防治和水资源保护提供了重要参考.The existing evaluation results of the Yellow River water quality in Ningxia section are so much influenced by the estimators＇ subjective factors that the evaluation results are insufficient, and their accuracy is not high. Therefore, in this paper, by using fuzzy neural network＇ s advantages, we focus on Yellow River water environment of the Ningxia section to carry out an comprehensive evaluation. This study intends to provide some references for the Yellow River water pollution control and water resources protection.

关 键 词：模糊神经网络 水质评价 黄河 

分 类 号：X824[环境科学与工程—环境工程]