Article details

Title: Genetic Optimal Hardware Implementation of a Feedforward Neural Network
Author(s): Constantin-Iulian Vizitiu               

Abstract: Genetic algorithms are an important class of modern global searching methods with specific applications in the complex optimization problems. The aim of this paper is to propose an interesting approach of a feedforward neural network topology optimization based on a new fitness function definition. The experimental results obtained in this case are compared with the ones from a classic pruning method, and for their validation, a hardware implementation is indicated.

Keywords: neural network, pruning technique, genetic algorithm, pattern recognition.

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