Course Contents
Neural networks – Artificial neurons – Activation functions – Learning rules – Supervised and Unsupervised Learning – Single layer and multilayer perceptron – Kohenen’s self-organizing networks – Hopfield networks. Fuzzy systems – Fuzzy sets and relations – Membership functions – Rule base reduction methods – Decision making with fuzzy information – Fuzzy classification and pattern recognition – Neuro-fuzzy systems. Introduction to genetic algorithms – Parent selection – Crossover – Mutation – Genetic Programming – Particle Swarm Optimization – Ant colony optimization – Artificial immune systems – Case Studies – Fuzzy region growing for segmentation of calcifications in mammograms – Classification of normal and ectopic beats using neural networks – Image registration using hybrid bio-inspired approaches.