摘要
将人工神经网络的非线性特性和信息的分布性用于煤低温自燃实验炉的模型辩识。结果表明，用人工神经网络来建立非线性静态模型是可行的。从而为煤低温自燃过程的建模提供了一条新的途径。
The nonlinearity and distribution of information processing of the artificial neural network are utilized in the indentification of model of coal spontaneous combustion stove at low temperature.The work described in this paper shows that is can be practicable to adopt artificial neural network to indentify nonlinear static models.A new way of modelling of coal spontaneous combustion processes at low temperature is given.
出处
《西安矿业学院学报》
北大核心
1996年第1期76-79,共4页
Journal of Xi'an University of Science & Technology
关键词
神经网络
模型
煤
低温
自燃发火
实验炉
neural network model coal spontaneous combustion at low temperature
