DocumentCode :
3313475
Title :
Integrable non-linear feedback analog circuit for solving linear equations
Author :
Ansari, Mohd Samar ; Rahman, Syed Atiqur
Author_Institution :
Dept. of Electron. Eng., Aligarh Muslim Univ., Aligarh, India
fYear :
2011
fDate :
17-19 Dec. 2011
Firstpage :
284
Lastpage :
287
Abstract :
A CMOS compatible neural circuit, employing non-linear feedback, to solve a system of simultaneous linear equations is presented. The circuit has an associated energy function comprising of transcendental terms that ensure fast convergence to the solution. The use of multi-output OTAs ensures that synaptic weight resistances are eliminated thereby reducing the circuit complexity over existing schemes. PSPICE simulation results are presented for two chosen sets of equations and are found to be in close agreement with the algebraic solutions.
Keywords :
SPICE; analogue circuits; feedback; operational amplifiers; CMOS compatible neural circuit; PSPICE simulation results; linear equations; multioutput OTA; nonlinear feedback analog circuit; Biological neural networks; Equations; Integrated circuit modeling; Mathematical model; Neurons; Simulation; Transconductance; Linear Programming; Neural network applications; Nonlinear circuits; OTA; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia, Signal Processing and Communication Technologies (IMPACT), 2011 International Conference on
Conference_Location :
Aligarh
Print_ISBN :
978-1-4577-1105-3
Type :
conf
DOI :
10.1109/MSPCT.2011.6150495
Filename :
6150495
Link To Document :
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