Learning internal representations by error propagation
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A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
PEITS '08 Proceedings of the 2008 Workshop on Power Electronics and Intelligent Transportation System
Qualification Evaluation in Virtual Organizations Based on Fuzzy Analytic Hierarchy Process
GCC '08 Proceedings of the 2008 Seventh International Conference on Grid and Cooperative Computing
A reference model approach to stability analysis of neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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IEEE Transactions on Neural Networks
Gradient-based manipulation of nonparametric entropy estimates
IEEE Transactions on Neural Networks
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How to evaluate and forecast sustainable development is one of key subjects for research. The influential factors of sustainable development were selected, which was including environment, economy and society in this paper. BP neural network is used to forecast Xiamen' sustainable development factors. The superiority of Neural Network makes it well simulate the nonlinear relationship between indexes and avoiding the subjectivity in traditional weight design methods. Furthermore, the evaluation results will be more objective and scientific than before. The experiment of Xiamen shows that the adaptive learning ability of BP Neural Network could effectively exclude artificial disturbance and objectively evaluate the sustainable development level.