BP NEURAL NETWORK BASED APPROACH TO SYNTHETICAL EVALUATION MODEL OF SUSTAINABLE DEVELOPMENT IN MINE CITIES

Reasonable evaluation for sustainable development in mine cities is important to management department making policy.The paper constructed the indexes system of the assessment of mining cities sustaining development level from the aspects of economy,environment,resource,society and population through using hierarchy analysis.Through comparison various methods for the sustainable development are analyzed.On the basis of considering advantages of the methods and characteristics of the mining cities,the state trend evaluating method of Neural Networks Synthetical is put forward,and established three layer's B-P Neural Network evaluation model.It is showed by examples that the choosing of indexes and methods are reasonable.