A Prediction Model Based on Neural Network and Fuzzy Markov Chain

In order to solve the problem of random and fluctuation of experiment errors and predication errors of neural network, a neural network model modified by a fuzzy Markov chain was introduced, When neural network was used to predict, the prediction errors between actual value and output value of the network were distributed randomly. That can be simulated by a Markov chain. According to the forecasting property of Markov chain, the prediction errors of neural network can be modified by the fuzzy Markov chain. The addition of fuzzy Markov chain to ANN method can prominently improve the prediction quality. This model was applied to analysis the properties of nano-composite materials. And the result showed it was effective and better than neural network model.