Title :
Cellular neuro-fuzzy networks (CNFNs), a new class of cellular networks
Author :
Colodro, F. ; Torralba, A.
Author_Institution :
Dipartimento de Ingenieria Electron., Escuela Superior de Ingenieros, Seville, Spain
Abstract :
A new architecture based on the cellular neural network (CNN) paradigm is proposed. If the linear combinator and the piecewise-linear function of a CNN is replaced by a fuzzy-logic unit, a new cellular network is obtained with improved capabilities. This network is called a cellular neuro-fuzzy network (CNFN). CNFNs inherit all the excellent properties of the CNNs, with the advantage of a greater flexibility at the expense of a higher complexity. Nevertheless, the CNFN can be efficiently built by means of modern analog integrated circuit technology
Keywords :
cellular neural nets; edge detection; fuzzy neural nets; neural net architecture; architecture; cellular neural network; cellular neuro-fuzzy networks; edge detection; fuzzy-logic unit; Analog integrated circuits; Cellular networks; Cellular neural networks; Electronic mail; Equations; Fuzzy neural networks; Integrated circuit technology; Land mobile radio cellular systems; Piecewise linear techniques; Space technology;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.551794
