Title :
A low-power Neuro-Fuzzy pulse stream system
Author :
Chiaberge, M. ; Miranda Sologuren, E. ; Reyneri, L.M.
Author_Institution :
Dipartimento di Elettronica, Politecnico di Torino, Italy
Abstract :
This paper describes a VLSI device design for low-power neuro-fuzzy computation, which is based on coherent pulse width modulation. The device can implement either multi-layer perceptrons, radial basis functions or fuzzy paradigms. In all cases, weights are stored as a voltage on a pair of capacitors, which are sequentially refreshed by a built-in self-refresh circuit
Keywords :
VLSI; feedforward neural nets; fuzzy neural nets; multilayer perceptrons; neural chips; pulse width modulation; VLSI device; built-in self-refresh circuit; capacitor pair; coherent pulse width modulation; fuzzy paradigms; multi-layer perceptrons; neuro-fuzzy pulse stream system; radial basis functions; weight storage; Capacitors; Circuits; Fuzzy systems; Multilayer perceptrons; Neurons; Power dissipation; Pulse width modulation; Timing; Very large scale integration; Voltage;
Conference_Titel :
Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-8186-7373-7
DOI :
10.1109/MNNFS.1996.493791
