Title :
A novel current-mode non-linear feedback neural circuit for solving linear equations
Author :
Ansari, Mohd Samar ; Rahman, Syed Atiqur
Author_Institution :
Dept. of Electron. Eng., Aligarh Muslim Univ., Aligarh, India
Abstract :
A novel current-mode neural circuit employing non-linear feedback 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 a resistor-less implementation. The hardware complexity of the proposed scheme compares favourably with existing voltage-mode neural circuits for the same task. PSPICE simulation results are presented for a chosen set of equations and are found to be in agreement with the algebraic solution.
Keywords :
SPICE; circuit complexity; linear algebra; logic design; neural chips; PSPICE simulation; current-mode neural circuit; hardware complexity; linear algebra; linear equation; nonlinear feedback; resistor-less implementation; transcendental energy function; voltage-mode neural circuit; Artificial neural networks; Circuit simulation; Feedback circuits; Neural network hardware; Neural networks; Neurofeedback; Neurons; Nonlinear equations; SPICE; Voltage; Current mode neural network; Linear algebra; Neural network applications; Neural network hardware; Nonlinear circuits; 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.2009.5164231
