Intelligent reconfigurable universal fuzzy flip-flop

IEICE Electronics Express

Rita Lovassy¹  Essam Koshak²  Afzel Noore² 

[1] Institute of Microelectronics and Technology, Óbuda University;Lane Department of Computer Science and Electrical Engineering West Virginia University

关键词: reconfigurable fuzzy flip-flop;    function approximation;   

DOI  :  10.1587/elex.7.1119

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(8)Cited-By(1)In this paper a universal fuzzy flip-flop is proposed that can be reconfigured as a fuzzy SR, D, JK, or T flip-flop. When integrated with a multi layer neural network, the resulting reconfigurable fuzzy-neural structure showed excellent learning ability. The sigmoid activation function of neurons in the hidden layers of the multilayer neural network was replaced by the quasi-sigmoidal transfer characteristics of the universal fuzzy flip-flop in the reconfigurable fuzzy-neural structure. Experimental results showed that the reconfigurable fuzzy-neural structure can be effectively trained using either a large or sparse set of data points to closely approximate nonlinear input functions.

【 授权许可】

Unknown