摘要
针对非线性焦炭质量预测模型,提出一种基于线性回归和BP神经网络的焦炭质量预测模型。为了使系统能够准确预测焦炭质量,焦炭质量参数灰分Ad、挥发分Vdaf采用线性回归方法预测,抗碎强度、耐磨强度、反应性指数和反应后强度使用BP神经网络预测。仿真结果表明该预测模型预测精度较高,适应性较好,具有一定的使用价值.
Against the nonlinear Prediction of Coke Quality model, a model based on the linear regression and the BP Neural Network is presented. To make the system accurately predict the quality of coke, coke quality, parameters ash, volatile linear regression method predicted the crushing strength, abrasion resistance, the reactivety index and the reaction intensity of the BP neural network prediction. Simulation results show that the error of the forecast model to predict coke quality is small and has adaptive performance, which has some certain value.
出处
《沈阳理工大学学报》
CAS
2013年第2期25-27,32,共4页
Journal of Shenyang Ligong University
