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Investigation of Decreasing the Convergence Time of a Modified Hopfield Neuron
Michael A. Waldschmidt
Advisor: Dr. Gary Dempsey

In this project options that will decrease the convergence time of the Hopfield neuron are investigated. This neuron will be used in a parallel processing architecture which uses feedback to share information between neurons. Example applications are a neural image processing system using the Hough Transform algorithm and a neural analog-to-digital converter. The intensive simulation required to check and justify four new ideas and approaches are reviewed. Two neurons were implemented in hardware to verify simulation results.

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