摘要
提出了基于配煤约束条件和目标函数,采用遗传算法建立的配煤最优化模型,并建立遗传算法和BP神经网络相结合的配煤预测模型。开发了气化用煤配煤专家系统,通过对该两者模型的求解,实现核心配煤计算功能及混煤煤质预测功能,从而提高了配煤效率和配煤稳定性。
Based on the constraint conditions and objective function of coal blending, the optimization model of coal blend using genetic algorithm (GA) was put forward in this investigation, and establish a prediction model of blended coal combing genetic algorithm with BP neural network. By way of the solution of both of them, developed the expert system for gasification coal blend, the primary calculation functions for coal blending were achieved, improving the efficiency of coal blending and blending stability.
出处
《煤炭技术》
CAS
北大核心
2017年第3期240-242,共3页
Coal Technology
基金
陕西省教育厅(14JF016)
神华宁夏煤业集团有限责任公司科技创新项目(其他2014-03-0038神宁字)
关键词
配煤最优化模型
配煤预测模型
专家系统
optimization model of coal blend
prediction model of blended coal
expert system