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According to the diversity and nonlinear characteristics of effect factors for COD concentration, a model of predicting COD concentration for surface water environment monitoring section was established based on the BP Neural Network technology. The model was applied to predict COD concentration for Xiaojiemiao monitoring section of Taizi river in Anshan area in this paper. The results showed that...
The method and performance for the state prediction based on the LM neural network was investigated. The way applied to the state prediction of on-board electromechanical BIT was provided. The slide oil pressure affects and reflects the run state of engine, which is adopted as the typical test data to validate the availability of LM neural network. Result shows that the state prediction and integrative...
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