Title :
Scalable mean rate signal encoding analog neural network
Author :
Berg, Yngvar ; Ruth, Jon-Erik ; Lande, Tor Sverre
Author_Institution :
Dept. of Inf., Oslo Univ., Norway
fDate :
30 Apr-3 May 1995
Abstract :
A micropower feedforward neural network implementation in standard CMOS using pulse frequency modulated signal representation is presented in this paper. The implementation includes a modified backpropagation algorithm using analog UV-programmable floating gate memories for weight storage. Measurements of a 3-6-2 layered feedforward neural network implementation solving the 3-parity problem are shown
Keywords :
CMOS analogue integrated circuits; analogue processing circuits; analogue storage; backpropagation; encoding; feedforward neural nets; neural chips; pulse frequency modulation; signal representation; 3-parity problem solution; PFM signal representation; analog UV-programmable floating gate memories; analog neural network; micropower feedforward neural network; modified backpropagation algorithm; pulse frequency modulation; scalable mean rate signal encoding; standard CMOS; weight storage; Biological neural networks; Circuits; Encoding; Feedforward neural networks; Feedforward systems; Neural networks; Neurons; Pulse measurements; Stochastic processes; Stochastic resonance;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.523731
