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Nonlinear switched capacitor 'neural' networks for optimization problems

A systematic approach is presented for the design of analog neural nonlinear programming solvers using switched-capacitor (SC) integrated circuit techniques. The method is based on formulating a dynamic gradient system whose state evolves in time toward the solution point of the corresponding progra...

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Published in:	IEEE transactions on circuits and systems 1990-03, Vol.37 (3), p.384-398
Main Authors:	Rodriguez-Vazquez, A., Dominguez-Castro, R., Rueda, A., Huertas, J.L., Sanchez-Sinencio, E.
Format:	Article
Language:	English
Subjects:	Analog computers Applied sciences Biological system modeling Biology computing Circuit simulation Clocks Cost function Dynamic programming Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Linear programming Multidimensional systems Neural networks Switched capacitor networks
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creator	Rodriguez-Vazquez, A. Dominguez-Castro, R. Rueda, A. Huertas, J.L. Sanchez-Sinencio, E.
description	A systematic approach is presented for the design of analog neural nonlinear programming solvers using switched-capacitor (SC) integrated circuit techniques. The method is based on formulating a dynamic gradient system whose state evolves in time toward the solution point of the corresponding programming problem. A neuron cell for the linear and the quadratic problem suitable for monolithic implementation is introduced. The design of this neuron and its corresponding synapses using SC techniques is considered in detail. An SC circuit architecture based on a reduced set of basic building blocks with high modularity is presented. Simulation results using a mixed-mode simulator (DIANA) and experimental results from breadboard prototypes are included, illustrating the validity of the proposed techniques.< >
doi_str_mv	10.1109/31.52732
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source	IEEE Electronic Library (IEL) Journals
subjects	Analog computers Applied sciences Biological system modeling Biology computing Circuit simulation Clocks Cost function Dynamic programming Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Linear programming Multidimensional systems Neural networks Switched capacitor networks
title	Nonlinear switched capacitor 'neural' networks for optimization problems
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