国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

This article studies the outer pipe corrosion prediction. Traditional forecasting methods is an expert rating system. The pipeline corrosion caused by many reasons, Experts on various factors preferences are not the same, so a strong subjective factors of such methods, the predicted results were not objective and accurate. In order to overcome the subjective influence to improve forecasting accuracy, we put forward the Petrochemical Pipeline Outside Corrosion model based on rough set theory combined with BP neural network.The prediction model using rough set theory to eliminate redundancy factors from pipe corrosion factors first., and then use processed data modeling and testing based on BP neural network. Simulation results show that the model is simple, fast and effective.