Application of RBF neural network to pyrolytic characteristics of coal

被引：0
|
作者：
Yu, D. [1 ]
Sun, X. [1 ]
Hu, S. [1 ]
Li, P. [1 ]
机构：
[1] State Key Lab. of Coal Combustion, HUST, Wuhan 430074, China
来源：
| 2001年 / Huazhong University of Science and Technology卷 / 29期
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摘要：
Under the condition of MATLAB5.3, a RBF neural network in the neural Networks Toolbox and essential analytic data: Cad, Had, Oad, Nad, Aad, Mad are used to predict coal's pyrolytic characteristics such as Ti, T1max, G1 and t. The high precision of the prediction results shows that the RBF neural, network is a useful method for the study of coal's pyrolytic characteristics.
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