Pattern Recall Analysis of the Hopfield Neural Network with a Genetic Algorithm

This paper is focused on the implementation of Hybrid techniques to explore the optimal solution for real world pattern association problems for which already some solutions exist but they are not efficient to obtain the desired solution for the problem as we can get by using the neural network techniques with genetic algorithm. In present work we have made some comparisons between the existing conventional and proposed evolutionary techniques and carried out the analysis. The results recommend that, in all cases, recalling of any approximate pattern through genetic algorithm outperform the recalling of the same pattern through conventional Hebbian rule.