Title :
Digitally-programmable analog cells for artificial neural networks
Author :
Almeida, A. Passos ; Franca, J.E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Inst. Superior Tecnico, Lisbon, Portugal
Abstract :
This paper describes the design and experimental evaluation of integrated mixed analog-digital cells for the implementation of artificial neural networks (ANNs) suitable for applications in nonlinear control and audio signal processing. A novel synapse architecture is proposed using a quasi-passive D/A converter (DAC) followed by a 4 quadrant analog-digital multiplier. The neurons are built with MOS transistors operating in the saturation region and exploiting the inherent quadratic characteristics. Experimental results obtained from a demonstration 1.2 μm CMOS prototype chip are in good agreement with the envisaged design specifications
Keywords :
CMOS integrated circuits; digital-analogue conversion; mixed analogue-digital integrated circuits; multiplying circuits; neural chips; 1.2 micron; CMOS prototype chip; MOS transistors; analog-digital multiplier; artificial neural networks; audio signal processing; digitally-programmable analog cells; mixed analog-digital cells; nonlinear control; quadratic characteristics; quasi-passive D/A converter; saturation region; synapse architecture; Analog-digital conversion; Application specific integrated circuits; Artificial neural networks; Flip-flops; MOSFETs; Neurons; Prototypes; Shift registers; Switches; Voltage;
Conference_Titel :
Custom Integrated Circuits Conference, 1994., Proceedings of the IEEE 1994
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-1886-2
DOI :
10.1109/CICC.1994.379658
