煤焦非均相着火温度与煤种关系的神经网络模型

AN ARTIFICIAL NEURAL NETWORK MODEL ON CORRELATION BETWEEN THE HETEROGENEOUS IGNITION TEMPERATURES OF COAL CHAR PARTICLES AND COALS

该文利用人工神经网络的非线性动力学特性及自学习特性，建立了煤焦非均相着火温度与煤种关系的神经网络模型；并对此模型进行了检验．结果表明，此模型能根据煤的工业分析数据准确地预报任何煤种的煤焦非均相着火温度．

Taking advantage of the nonlinear dynamics characteristics and self-learning characteristics f artificial neural network, an artificial neural network model on correlation betaween the heterogeneous ignition temperatures of coal char particles and coals is presented and verified in this paper. The results show that the model can predict heterogeneous ignition temperatures of coal char particles bassed on the values of coal proximate analysis accurately.