GA优化的BP神经网络焦炭质量预测模型
GA Optimized BP Neural Network Coke Quality Prediction Model
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摘要: 针对炼焦行业亟待解决的节能减排、降低成本和提高焦炭质量的问题,分析了影响焦炭质量的主要因素,选择了六项指标来预测焦炭的质量,建立了通过遗传算法(GA)优化神经网络的焦炭质量预测模型。实践表明,GA优化的BP神经网络焦炭质量预测模型有较好的适应性和预测精度,具有一定的实际应用价值。Abstract: To solve the problems of energy-saving and reducing discharge, reducing cost and improving coke, the paper analyzed the main factor that influence coke, and selected 6 indexes to predict the quality of coke, as well as established the GA optimized neural network coke quality prediction model. The Application shows that the GA optimized neural network coke quality prediction model has better adaptability and prediction precision, and has some application velue.
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