Industrial anti-prediction model for microwave drying of selenium-rich slag processing using incremental improved back-propagation neural network
the industrial anti-prediction model using incremental improved back-propagation neural network is proposed in microwave drying of selenium-rich slag processing. Using the anti-prediction model, the experimental conditions are predicted by the desired results. The simulation results show the applicability and superiority of the anti-prediction model, which can predict the experimental conditions according to the results, and provide the theoretical basis for the follow-up industrial production process and judge the feasibility of the industrial production.
anti-prediction incremental improved backpropagation neural network microwave drying
Yingwei Li Mengnan Lu Jinhui Peng Jianhua Liu Hongpo Wang Wei Li
Faculty of Metallurgical and Energy Engineering Kunming University of Science and Technology Kuming Key Laboratory of Unconventional Metallurgy,Ministry of Education Kunming University of Science and
国际会议
秦皇岛
英文
67-71
2010-11-05(万方平台首次上网日期,不代表论文的发表时间)