English

应用科学学报 ›› 1997, Vol. 15 ›› Issue (2): 211-216.

• 论文 • 上一篇    下一篇

煤焦非均相着火温度与煤种关系的神经网络模型

钱诗智, 陆继东, 李广   

  1. 华中理工大学
  • 收稿日期:1995-11-24 修回日期:1996-01-24 出版日期:1997-06-30 发布日期:1997-06-30
  • 作者简介:钱诗智:博士生,华中理工大学煤燃烧国家重点实验室,武汉 430074
  • 基金资助:
    国家教委《跨世纪优秀人才计划》资助

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

QIAN SHIZHI, LU JIDONG, LI GUANG   

  1. 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

PDF

61

被引次数

10

摘要： 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.

关键词: 着火温度, 煤焦, 人工神经网络

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