Evaluation of sustainable development of cities in Shandong province based on fuzzy BP-ANN & GIS

Sustainable development is regarded as the common goal of development by all the countries of the world. There are many approaches on evaluating the level of regional sustainable development. In this paper, back propagation artificial neural networks and GIS were applied to evaluate the levels of the sustainable development of 17 cities in Shandong province. Firstly, the writers choose 28 indexes belonging to 8 subsystems and 3 systems. Secondly, the writers processed the data of the 28 indexes with 2 methods according to the characteristic of each index. Thirdly, the writers evaluated the sustainable development of 17 cities in Shandong province with the method of BP-ANN by the neural network toolbox of MATLAB7.0, and showed the location of cities of different levels of sustainable development with ARCVIEW3.2. The results show that the high level cities locate along the Jiaoji railway and the east coast and that the low level ones locate at southwest and northwest of the province.