Pattern Recognition Based On Intelligent System

Neural Network (NN) is an information processing system that has been developed as generalization models of human cognition of neural
biology. Two important learning methods for NN are discussed to be our comparative study; these methods are Back Propagation (BP) and Particle Swarm Optimization (PSO). These two methods are found to learn the NN by modifying the weights of the NN, this is done by calculating the fitness value which is considered as a threshold value. In this work the Pattern Recognition (PR) problem will be manipulated, which is considered one of the important applications of classification filed. The Greek Text Letter Recognition (A) is the objective of this paper, the upper and lower cases are discussed.

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Hazem Noori Abdulrazzak

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