Resource State Prediction in the Grid Based on Neural Network

This paper introduced the main characters of grid resources, discussed the classic grid resource prediction methods, and then presented a novel prediction algorithm in grid resource state prediction based on BP neural network algorithm. It can be learn directly from the comparison between the traditional BP algorithm and the new TD algorithm based on BP neural network. The experiment results show that TD algorithm represents a more accurate prediction and a better adaptive ability in the autonomous grid environment.