| 基于回归神经网络的复杂工业对象的建模 |
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| 引用本文： | 魏剑平,李华德,余达太,冯扬.基于回归神经网络的复杂工业对象的建模[J].北京科技大学学报,1999,21(4):406-408. |
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| 作者姓名： | 魏剑平 李华德 余达太 冯扬 |
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| 作者单位： | 北京科技大学信息工程学院,北京,100083 |
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| 摘 要： | 讨论一种动态神经网络－Ｅｌｍａｎ回归神经网络的结构和算法,基于这一网络结构提出了非线性时变工业对象－直流电弧的神经网络建模方法,并与用其他方法为对象建立的模型进行了比较。
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| 关 键 词： | 回归神经网络 建模 工业对象 |
Modeling for A Complicated Industrial Object Based on Recurrent Neural Network |
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| Wei Jianping,Li Huade,Yu Datai,Feng Yang.Modeling for A Complicated Industrial Object Based on Recurrent Neural Network[J].Journal of University of Science and Technology Beijing,1999,21(4):406-408. |
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| Authors: | Wei Jianping Li Huade Yu Datai Feng Yang |
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| Abstract: | The architecture and algorithm of a kind of dynamical neural network,Elman recurrent neuralnetwork (RNN)were dicussed. Based on this network, an approach of modeling for nonlinear time-varying industrial object, direct current arc, was proposed. Compared with other modeling method for the object, themodel based on RNN is proved to have better performance. |
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| Keywords: | recurrent neural network modeling industrial object |
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