Prediction of multi-observation system based on predictive staterepresentation and sparse distribute memory
基于预测状态表示模型和稀疏分布记忆的多观测系统预测

this paper proposed a new model creation method for PSR. The method constructed the approximate prediction model for complex multi-observations system-S-PSR. The new model divided the tests and the histories for classification based on relation. Furthermore the model finished the state saving and updating by using SDM and realized the process of complex data on multi-observation system. The result shows that the proposal model is better than other model in prediction error.