水资源与水工程学报2013，Vol.24Issue(4)：184-188,194,6.
Elman与GRNN神经网络模型在水环境承载力评价中的应用——以文山州区域水环境承载力评价为例
Application of neural network model of Elman and GRNN in evaluation of water environment carrying capacity
郭婉娥1
作者信息
- 1. 云南省麻栗坡县水务局,云南麻栗坡663600
- 折叠
摘要
Abstract
The evaluation index system and grading standards of regional water environment carrying capacity were built by using analytic hierarchy process.Based on the algorithm principle of Elnan neural network and generalized regression neural network (GRNN),the paper proposed the evaluation model of water environment carrying capacity of Elman and GRNN neural network,used the interpolation method to construct network training samples,reviewed the threshold sample of water environment carrying capacity evaluation standard,took the results as the division basis to evaluate the carrying capacity class of a regional water environment,and evaluated the water environment carrying capacity of Wenshan in different level years.The results show that the water environment carrying capacity of Wenshan state in different level years is between absolute bearing and basic bearing,witch objectively reflects the present situation and plan desired effect of regional water environment,and can provide reference for the evaluation and research of regional water environment carrying capacity.The evaluation results of Elman and GRNN neural network models are similar witch shows that the model and method of evaluation of regional water environment carrying capacity established by study are reasonable and feasible,the two can be used as the evaluation model of regional water environment carrying capacity.关键词
水环境/承载力评价/Elman神经网络/广义同归神经网络(GRNN)/文山州Key words
water environment / carrying capacity evaluation / Elman neural network / generalized regression neural network (GRNN) / Wenshan of Yunnal Province分类
资源环境引用本文复制引用
郭婉娥..Elman与GRNN神经网络模型在水环境承载力评价中的应用——以文山州区域水环境承载力评价为例[J].水资源与水工程学报,2013,24(4):184-188,194,6.
