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Self-organizing neural networks evaluation model and its application

机译：自组织神经网络评估模型及其应用

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摘要

Comprehensive evaluation of water resources sustainable utilization is a typical decision-making problem with multi-goals, multi-layers and multi-attributes, it is necessary to consider comprehensively factors of society, economy, resources and environment. Based on real state of Yunnan Province, a new evaluation index system of water resources sustainable utilization has been set up, through applying the clustering function of SOFM network, making a clustering analysis on total Yunnan province and various degree of local water resources sustainable utilization. The outcome shows that water resources sustainable utilization degree in Yunnan province can be classified to 5 classes, and the total region of Yunnan province belongs to III class, that is to say water resources sustainable utilization can be maintained on the whole. The model provides us a new method and thought for comprehensive evaluation of water resources sustainable utilization with its clear thought and reasonable outcomes.
机译：水资源可持续利用的综合评价是一个多目标，多层次，多属性的典型决策问题，有必要综合考虑社会，经济，资源和环境等因素。基于云南省的实际情况，通过运用SOFM网络的聚类功能，建立了一个新的水资源可持续利用评价指标体系，对云南省总量和不同程度的地方水资源可持续利用进行了聚类分析。结果表明，云南省水资源可持续利用程度可分为5类，云南省总面积为Ⅲ类，也就是说，水资源可持续利用总体上可以保持。该模型思路清晰，结果合理，为水资源可持续利用综合评价提供了一种新的方法和思路。

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