Hysteresis modeling using neural networks

Xiang Dong Liu; Chun Bo Xiu; Li Li; Cheng Liu

Hysteresis modeling using neural networks

Xiang Dong Liu^*, Chun Bo Xiu, Li Li, Cheng Liu

^*此作品的通讯作者

自动化学院

科研成果: 期刊稿件 › 文章 › 同行评审

7 引用（Scopus）

摘要

A novel neural networks for hysteresis modeling is proposed. The networks has three layers. The activation function of the neuron in the hidden layer is composed by two displacement Sigmoid function. According to the characteristic of the nonlinear systems, the paper give the choice method of structure and learning method. The modeling experiment of the piezoelectric ceramic is realized by the network. The simulation results prove validity of the algorithm.

源语言	英语
页（从-至）	106-108
页数	3
期刊	Yadian Yu Shengguang/Piezoelectrics and Acoustooptics
卷	29
期	1
出版状态	已出版 - 2月 2007

其它文件与链接

链接到 Scopus 的出版物

引用此

Liu, X. D., Xiu, C. B., Li, L., & Liu, C. (2007). Hysteresis modeling using neural networks. Yadian Yu Shengguang/Piezoelectrics and Acoustooptics, 29(1), 106-108.

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title = "Hysteresis modeling using neural networks",

abstract = "A novel neural networks for hysteresis modeling is proposed. The networks has three layers. The activation function of the neuron in the hidden layer is composed by two displacement Sigmoid function. According to the characteristic of the nonlinear systems, the paper give the choice method of structure and learning method. The modeling experiment of the piezoelectric ceramic is realized by the network. The simulation results prove validity of the algorithm.",

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AB - A novel neural networks for hysteresis modeling is proposed. The networks has three layers. The activation function of the neuron in the hidden layer is composed by two displacement Sigmoid function. According to the characteristic of the nonlinear systems, the paper give the choice method of structure and learning method. The modeling experiment of the piezoelectric ceramic is realized by the network. The simulation results prove validity of the algorithm.

KW - Hysteresis

KW - Modeling

KW - Neural networks

KW - Piezoelectric ceramic

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Hysteresis modeling using neural networks

摘要

其它文件与链接

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引用此