A non-linear 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 solution. The use of multi-output OTAs ensures that synaptic weight resistance 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 agree with the algebraic solutions.
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Ansari et al. (2011) studied this question.
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