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ASME Press Select Proceedings
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)
Editor
Xie Yi
Xie Yi
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ISBN:
9780791860045
No. of Pages:
938
Publisher:
ASME Press
Publication date:
2012

Geological hazards are very harmful for human life. To measure the hazards and made correct decisions, this paper designs a decision system based on artificial neural network and Geographic Information System (GIS). To improve the performance of the neural network, a novel differential evolution algorithm is used to train the connecting weights. The system makes full use of the functions of GIS and neural network, and is capable of visualization evaluation for the hazards.

1. Introduction
2. Artificial Neural Network
3. Training BP Neural Network Using Improved Differential Evolution
4. Decision System for Geological Disasters
5. Conclusion
References
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