Particle Swarm Optimisation and Self Organising Maps Based Image Classifier

Neural network based image classification has been dominated by self organising maps. Following the recent developments in biologically inspired optimisation techniques, the application of particle swarm optimization algorithm for updating the weights of self organising maps has been studied in this paper, along with different network configurations of self organising maps. Experimental results are presented for 6 different classes from the Corel database based on MPEG -7 visual descriptor.