Title :
A simple neural-based A/D converter employing CMOS inverters
Author :
Pham, Cong-Kha ; Tanaka, Mamoru ; Shono, Katsufusa
Author_Institution :
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
fDate :
27 Jun-2 Jul 1994
Abstract :
A simple neural-based A/D converter employing only CMOS inverters is considered. Its structure is based on a neural network with feedforward and nonsymmetrical connections. The formal neuron model can easily be implemented by the use of CMOS inverters. Weights for synapses are given as fixed numerical values of channel conductances of pull-up PMOS and pull-down NMOS transistors of the CMOS inverters. A 4-bit A/D converter is realized with 3 μm CMOS digital process and is measured for confirming the behavior of the proposed structure
Keywords :
CMOS digital integrated circuits; analogue-digital conversion; feedforward neural nets; logic gates; neural chips; CMOS inverters; channel conductances; feedforward; formal neuron model; neural-based A/D converter; nonsymmetrical connections; pull-down NMOS transistor; pull-up PMOS transistor; synaptic weights; CMOS technology; Feedforward neural networks; Feedforward systems; Hardware; Inverters; Neural networks; Neurofeedback; Neurons; Resistors; Semiconductor device modeling;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374537
