Author : Ahmed Mohammed Al-Bassam, Saher
journal of kerbala university,
Volume 6, Issue 2, Pages 395-406
The meaning of the Particle Swarm Optimization (PSO) refers to a relatively new family of algorithms that may be used to find optimal (or near optimal) solutions to numerical and qualitative problems. Neural Network is an information processing system that has been developed as generalization models of human cognition of neural biology.
In this paper we learn the neural network using PSO method in the field of prediction to solve XOR problem in 4 parities (2, 3, 4, and 5) instead of using Back Propagation (BP) or Genetic Algorithm (GA) methods.
The suggested method is found to learn the NN by modifying the NN weights, this is done by calculating the fitness value which is considered as a threshold value.