Chen Shihong

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The BP neural network is a feed-forward network trained by backward propagation of errors algorithm, which is the most widely used neural network model, but BP neural network can't avoid the shortcoming that is strong randomness and easily converging to local minimum. In this paper, we discuss the principle, structure and realization way of BP neural(More)
The essential feature of complex systems is the multi-correlation between the various agents and elements of events. How to find out the potential relationship between the agents and elements of events from the mass of information is the key to the complicated problems. In this paper, the event diffuse model EDM was proposed to dig out sensitive information(More)
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