煤焦非均相着火温度与煤种关系的神经网络模型

Journal of Applied Sciences ›› 1997, Vol. 15 ›› Issue (2): 211-216.

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

QIAN SHIZHI, LU JIDONG, LI GUANG

National Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074

Received:1995-11-24 Revised:1996-01-24 Online:1997-06-30 Published:1997-06-30

Abstract

Abstract: 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.

Key words: coal char, ignition temperature, artificial neural network

QIAN SHIZHI, LU JIDONG, LI GUANG. AN ARTIFICIAL NEURAL NETWORK MODEL ON CORRELATION BETWEEN THE HETEROGENEOUS IGNITION TEMPERATURES OF COAL CHAR PARTICLES AND COALS[J]. Journal of Applied Sciences, 1997, 15(2): 211-216.

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

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