Neural network model of hysteresis

J. D. Wei; C. T. Sun

Neural network model of hysteresis

J. D. Wei^*
, C. T. Sun

^*此作品的通信作者

National Yang Ming Chiao Tung University

研究成果: 會議稿件的類型 › 論文 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

Hysteresis is an effect of memory, which is frequently observed in the realm of nature. The purpose of this paper is trying to understand more of it, such that we may achieve better performance from the systems which are hysteresis-embedded. A hypothesis-based neural network model is offered in this paper. We name it the Synchronous Delay Network (SDN) model. It can be realized as a feed-forward neural network. We also discuss the possible applications in this paper.

原文	英語
頁面	412-417
頁數	6
出版狀態	已出版 - 1996
對外發佈	是
事件	Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan 持續時間: 11 12 1996 → 14 12 1996

Conference

Conference	Proceedings of the 1996 Asian Fuzzy Systems Symposium
城市	Kenting, Taiwan
期間	11/12/96 → 14/12/96

其它文件與鏈接

Link to publication in Scopus

引用此

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title = "Neural network model of hysteresis",

abstract = "Hysteresis is an effect of memory, which is frequently observed in the realm of nature. The purpose of this paper is trying to understand more of it, such that we may achieve better performance from the systems which are hysteresis-embedded. A hypothesis-based neural network model is offered in this paper. We name it the Synchronous Delay Network (SDN) model. It can be realized as a feed-forward neural network. We also discuss the possible applications in this paper.",

author = "Wei, \{J. D.\} and Sun, \{C. T.\}",

year = "1996",

language = "英语",

pages = "412--417",

note = "Proceedings of the 1996 Asian Fuzzy Systems Symposium ; Conference date: 11-12-1996 Through 14-12-1996",

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AU - Wei, J. D.

AU - Sun, C. T.

PY - 1996

Y1 - 1996

N2 - Hysteresis is an effect of memory, which is frequently observed in the realm of nature. The purpose of this paper is trying to understand more of it, such that we may achieve better performance from the systems which are hysteresis-embedded. A hypothesis-based neural network model is offered in this paper. We name it the Synchronous Delay Network (SDN) model. It can be realized as a feed-forward neural network. We also discuss the possible applications in this paper.

AB - Hysteresis is an effect of memory, which is frequently observed in the realm of nature. The purpose of this paper is trying to understand more of it, such that we may achieve better performance from the systems which are hysteresis-embedded. A hypothesis-based neural network model is offered in this paper. We name it the Synchronous Delay Network (SDN) model. It can be realized as a feed-forward neural network. We also discuss the possible applications in this paper.

UR - https://www.scopus.com/pages/publications/0030365117

M3 - 论文

AN - SCOPUS:0030365117

SP - 412

EP - 417

T2 - Proceedings of the 1996 Asian Fuzzy Systems Symposium

Y2 - 11 December 1996 through 14 December 1996

ER -

Neural network model of hysteresis

摘要

Conference

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指紋

引用此