Title :
Hysteresis cellular neural networks
Author :
Jin´no, Kenya ; Tanaka, Mamoru
Author_Institution :
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
Abstract :
This article proposes a hysteresis cellular neural network (HCNN). First, we define an energy function for the HCNN, and analyze it. Next, we analyze the stable equilibria of HCNN
Keywords :
cellular neural nets; hysteresis; energy function; hysteresis cellular neural networks; stable equilibria; Associative memory; Cellular neural networks; Convergence; Hysteresis; Neural networks; Neurofeedback; Performance analysis; Piecewise linear techniques;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566491
