Title :
A current-mode neuro-fuzzy network
Author :
Conti, Massimo ; Orcioni, Simone ; Turchetti, Claudio
Author_Institution :
Dipt. di Elettronica, Ancona Univ., Italy
Abstract :
A new neuro-fuzzy network based on a neural model called Approximate Identity Neural Network (AINN) is presented in this work. The ability of neural networks to learn from examples and the ability of the fuzzy model to code human knowledge can be helpfully joined to create an adaptive fuzzy system. Our architecture is particularly suited to be implemented by analogue CMOS VLSI hardware. The architecture, a circuit implementation and a simple implementation example with Spectre simulation are presented
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; current-mode circuits; fuzzy neural nets; neural chips; neural net architecture; Spectre simulation; adaptive fuzzy system; analogue CMOS VLSI hardware; approximate identity neural network; current-mode neuro-fuzzy network; Artificial neural networks; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Gravity; Neural networks; Neurons; Semiconductor device modeling; Shape; Very large scale integration;
Conference_Titel :
Electronics, Circuits and Systems, 1998 IEEE International Conference on
Conference_Location :
Lisboa
Print_ISBN :
0-7803-5008-1
DOI :
10.1109/ICECS.1998.813355
