中南大学学报（自然科学版）2011，Vol.42Issue(12)：3871-3875,5.
基于Elman神经网络的动力配煤发热量及着火温度的预测
Predication of calorific value and ignition temperature of blended coal based on Elman neural network
摘要
Abstract
In order to overcome the disadvantages of tedious operation and serious information lag in testing calorific value and ignition temperature of blended coal in laboratory, the Elman neural network prediction model was established. In the learning process of the neural network, the nonlinear mapping relationships between calorific value and ignition temperature of blended coal and moisture content, ash, volatile matter of single coal were determined. The calorific value and ignition temperature of blended coal were predicted by the model, using the information of moisture content, ash, volatile matter of single coals. Prediction results of the predication model were verified by using confidence interval method. The results show that the model has high reliability and confidence.关键词
Elman神经网络/动力配煤/发热量/着火温度/预测模型Key words
Elman neural network/ blended coal/ calorific value/ ignition temperature/ predication model分类
化学化工引用本文复制引用
周孑民,朱再兴,刘艳军,彭好义,高强..基于Elman神经网络的动力配煤发热量及着火温度的预测[J].中南大学学报（自然科学版）,2011,42(12):3871-3875,5.基金项目
国家自然科学基金资助项目(50876116) （50876116）
