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
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;
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
DOI :
10.1109/AFSS.1996.583646
