Neural and Evolutionary Computing

Overview | Contents | Prerequisites | Course materials (in romanian) | Lab activity (in romanian) |
Projects( in romanian) | Bibliography | Links

Overview:

This is a one-semester course for master students in Computer Science. The aim of the course is to present topics related with neural and evolutionary computing.

Neural and evolutionary computing as components of natural computing.
Solving association problems with neural networks. Supervised learning.
Solving optimization problems with neural networks. Simulated annealing
Genetic algorithms.
Evolutionary strategies
Evolutionary and genetic programming
Hybrid systems. Evolutionary design of neural networks.

Prerequisites:

Programming Languages
Basic Linear Algebra
Numerical Analysis
Elementary Probability Theory and Statistics

Course materials (in romanian)

Curs1: Calcul neuronal si calcul evolutiv (8.10.2003) (pdf)
Curs2 : Rezolvarea problemelor de asociere cu retele neuronale feedforward (15.10.2003) (pdf)
Curs3 Rezolvarea problemelor de optimizare cu retele neuronale (22.10.2003) (pdf)
Curs4 : Algoritmi aleatori de optimizare. Simulated Annealing (29.10.2003) (pdf). Anexa: Simularea variabilelor aleatoare (ps, pdf)
Curs5 : Algoritmi genetici. Structura generala si operatori genetici (5.11.2003) (pdf)
Curs6 : Algoritmi genetici. Proprietati si aplicatii (12.11.2003) (pdf)
Curs 7 Strategii evolutive. Operatori specifici si variante (19.11.2003) (pdf)
Curs 8: Programare evolutiva si programare genetica. (26.11.2003) (pdf)
Curs 9: Modele distribuite in calculul evolutiv (3.12.2003) (pdf)
Curs 10-11: Proiectarea evolutiva a retelelor neuronale

Lab activity (in romanian)

Tema 1 : Rezolvarea unei probleme de asociere folosind retele neuronale si algoritmi evolutivi
Tema 2 : Rezolvarea unei probleme de optimizare combinatoriala cu tehnici neuronale si evolutive

Projects

Bibliography:

Kung, S.Y. , Digital neural networks, Prentice Hall, 1993.
Dumitrescu, D., Costin, H. Retele neuronale; teorie si aplicatii. Teora, Bucuresti, 1996.
Dumitrescu D., Algoritmi genetici si strategii evolutive, Microinformatica Cluj, 2000.
Wasserman, P. Neural Computing – Advanced Methods. Van Nostrand Reinhold Inc., Computer Science Series, 1993.
Masters, T. Practical Neural Networks Recipes in C++. Academic Press, Boston, 1993.
Ripley, B.D., Pattern Recognition and Neural Networks, Cambridge University Press, 1996.

Related books at BCUT (http://www.bcut.ro/):

GELENBE, Erol (ed.), NEURAL networks, 1992.
MASTERS, Timothy, Advanced algorithms for neural networks, 1995.
HAGAN, Martin T., Neural network design, 1995.
BELTRATTI, Andrea, Neural networks for economic and financial modeling, 1996.
SKAPURA, David M., Building neural networks, 1996.
ELLACOTT, Stephen W., MATHEMATICS of neural networks, 1997.
RUAN, Da (ed.), INTELLIGENT hybrid systems, 1997
MITCHELL, Melanie, An introduction to genetic algorithms, 1996.
MORABITO, F.C. (ed.), ADVANCES in intelligent systems, 1997.
ANSARI, N, Computational intelligence for optimization, Kluwer Academic, 1997

Links:

Neural computing

Evolutionary computing:

Last update: october 2003

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