GCO4015

Evolutionary and neural computing

Topics: Intoduction to intelligent systems. Concepts of genetic operators as crossover and mutation. Fitness functions, scaling and sampling in GAs. Numerical optimisation using GAs. Applications to scheduling problems and machine learning. Basic concepts of neural computing. Introduction to some types of neural networks: feedforward neural nets, autoassociative nets, self-organising nets and nerofuzzy systems, and applications to which they are suited. Design of neural computing applications and optimisation using an interactive approach. Basic concepts of simulated annealing and applications.

Back to the 1999 Distance Education Handbook