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RBF神经元网络的工业建模探讨

Study on industrial process modeling of RBF neural network
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摘要 基于石墨化炉况的大量研究,提出采用径向基函数网络建立石墨化炉过程模型,以期实现精确控制.该模型计算机仿真结果非常理想,其拟和精度很高. On the basis of lots of study on present graphitizing furnace, RBF neural network is put forward to model graphitizing furnace in order to make accurate control. This model has obtained ideal simulation result on computers. The fitting precision of the model is very satisfying.
作者 曲丽萍 薛海波
机构地区 北华大学电气信息工程学院 吉林市市直机关事务管理局
出处 《吉林化工学院学报》 CAS 2006年第2期40-42,共3页 Journal of Jilin Institute of Chemical Technology
关键词 石墨化 径向基函数网络 最小二乘法 动态网络 graphitizing radial basis function network least square method dynamic network
分类号 TP391.9 [自动化与计算机技术—计算机应用技术]
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吉林化工学院学报
2006年 第2期

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