Students get acquainted with advanced principles and methods of modelling and control of systems using artificial neural networks and stochastic methods of optimal control.
Prerequisites for registration:
none
Course contents:
Theory of artificial neural networks
Neuro-fuzzy systems
Genetic algorithms
Simulated annealing
Monte Carlo simulations
Recommended or required reading:
Basic:
MAN, K. – TANG, K. – KWONG, S. Genetic Algorithms: Concepts and Designs. London : Springer Verlag, 1999. 344 s. ISBN 1-85233-072-4.
WINTER, G. Genetic Algorithms in Engineering and Computer Science. Chichester : John Wiley & Sons, 1995. 464 s. ISBN 0-471-95859-X.
KVASNIČKA, V. – BEŇUŠKOVÁ, Ľ. – POSPÍCHAL, J. – FARKAŠ, I. – TIŇO, P. – KRÁĽ, A. Úvod do teórie neurónových sietí. Bratislava : IRIS-Knižní klub, 1997. 285 strany. ISBN 80-88778-30-1.