Industrial anti-prediction model for microwave drying of selenium-rich slag processing using incremental improved back-propagation neural network

摘要

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.