Title :
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
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;
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
DOI :
10.1109/MSPCT.2009.5164189
