A non-linear neural circuit for solving system of simultaneous linear equations

Author

Ansari, Mohd Samar ; Rahman, Syed Atiqur

Author_Institution

Dept. of Electron. Eng., Aligarh Muslim Univ., Aligarh, India

fYear

2009

fDate

14-16 March 2009

Firstpage

120

Lastpage

123

Abstract

A feedback neural network based CMOS compatible circuit to solve a system of simultaneous linear equations is presented. The circuit has an associated transcendental energy function that ensures fast convergence to the exact solution while enjoying reduction in hardware complexity over existing schemes. HSPICE simulation results are presented for a chosen set of equations and are found to agree exactly with the algebraic solution.

Keywords

CMOS integrated circuits; SPICE; linear algebra; recurrent neural nets; CMOS compatible circuit; HSPICE simulation; feedback neural network; linear algebra; nonlinear neural circuit; simultaneous linear equations; transcendental energy function; Adders; Application software; Circuit simulation; Neural network hardware; Neural networks; Neurofeedback; Neurons; Nonlinear equations; Operational amplifiers; Very large scale integration; Neural network applications; Neural network hardware; Nonlinear circuits; linear algebra; linear equations;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia, Signal Processing and Communication Technologies, 2009. IMPACT '09. International

Conference_Location

Aligarh

Print_ISBN

978-1-4244-3602-6

Electronic_ISBN

978-1-4244-3604-0

Type

conf

DOI

10.1109/MSPCT.2009.5164189

Filename

5164189