CMOS analog neurofuzzy prototype based on ANFIS
Oliverio Arellano-Cardenas, Herón Molina-Lozano, Jose Antonio Moreno-Cadenas, Felipe Gomez-Castaneda, Luis Martin Flores-Nava · 2002
The architecture called ANFIS (Adaptive Neuro-Fuzzy Inference System) proposed by J.R. Jang (1993) is divided in five layers. Layers 1 and 2 in ANFIS were built by using a double-differential amplifier and a winner takes all circuit; to implement layers 3, 4 and 5, CMOS translinear blocks are used. The complete ANFIS architecture is implemented on a circuit board, using two CMOS circuits (N-well and 2 /spl mu/m minimum dimensions). The total system has two inputs with three membership functions each one, which generate a fuzzy space with nine subspaces and one single output. The system is used for classification of electrical signals.