DocumentCode
3449362
Title
A neural network model of hysteresis
Author
Wei, Jyh-Da ; Sun, Chuen-Tsai
Author_Institution
Inst. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
1996
fDate
11-14 Dec 1996
Firstpage
412
Lastpage
417
Abstract
Hysteresis is an effect of memory, which is frequently observed in the realm of nature. The purpose of this paper is to try 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, the synchronous delay network (SDN) model. It can be realized as a feedforward neural network. We also discuss the possible applications in this paper
Keywords
brain models; feedforward neural nets; heuristic programming; neurophysiology; feedforward neural network; hypothesis-based neural network model; hysteresis; memory model; nature; performance; synchronous delay network model; Character recognition; Delay effects; Ducts; Feedforward neural networks; Feedforward systems; Hysteresis; Information science; Neural networks; Shape; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location
Kenting
Print_ISBN
0-7803-3687-9
Type
conf
DOI
10.1109/AFSS.1996.583646
Filename
583646
Link To Document