Self-organizing neural networks evaluation model and its application

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.