Pre-warning System of Mine Safety Based on Neural Network and Expert System

In view of reduplicate knowledge representation and inference speed which is inversely proportional to knowledge storage in traditional expert system, the author introduced artificial neural networks into pre-warning expert system of mine safety. This paper firstly generally designed pre-warning expert system of mine safety which based on neural networks. Secondly, it discussed method of knowledge representation which based on BP neural networks. Then through the experimental simulation, the result proved that the result of improved expert system is more accurate than traditional one´s. Finally, system applied in practice and the application results showed that the predicted results are consistent with the actual situation, so the expert system could be applied widely to coal mine.