Title :
Fully integrated continuous-time neural networks
Author_Institution :
Dept. of Electr. Eng., Xi´´an Jiatong Univ., China
Abstract :
MOSFET-C and OTA-C neurons based on the continuous-time analog techniques in MOS VLSI are proposed, and a fully integrated Hopfield neural network and fully integrated cellular neural network are developed. The author provides a novel approach to implementing VLSI neural network analog information processing systems
Keywords :
MOS integrated circuits; VLSI; analogue computer circuits; cellular arrays; parallel architectures; Hopfield neural network; MOS VLSI; MOSFET-C; OTA-C neurons; analog information processing systems; cellular neural network; continuous-time analog techniques; continuous-time neural networks; parallel processing; Cellular neural networks; Neural networks; Neurons; Operational amplifiers; Resistors; Temperature control; Transconductance; Tunable circuits and devices; Very large scale integration; Voltage control;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100791
