DocumentCode :
1693382
Title :
Neural network for digital applications
Author :
Morisue, M. ; Koinuma, H.
Author_Institution :
Dept. of Electron. Eng., Saitama Univ., Urawa, Japan
fYear :
1989
Firstpage :
2189
Abstract :
A novel technique is described for realizing a high-performance digital circuit using neural networks. As examples of applications of neural networks to digital circuits, an adder and a multiplier using neural networks are proposed. High-speed digital circuits can be realized because the neural networks have almost constant operation time regardless of the number of bits in the circuit. The principle of the adder and multiplier is described in detail, and some simulation results obtained with these circuits are presented
Keywords :
adders; digital arithmetic; digital circuits; logic circuits; multiplying circuits; neural nets; adder; digital applications; high speed circuits; high-performance digital circuit; logic circuits; multiplier; neural networks; Adders; Circuit simulation; Digital circuits; Hopfield neural networks; Impedance; Neural networks; Nonlinear equations; Operational amplifiers; Signal processing; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
Type :
conf
DOI :
10.1109/ISCAS.1989.100811
Filename :
100811
Link To Document :
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