Refine
Document Type
Has Fulltext
- yes (11) (remove)
Keywords
- computer clusters (4)
- parallel algorithms (3)
- Simulation (2)
- artifcial neural networks (2)
- artificial neural networks (2)
- Chaos (1)
- E-government (1)
- E-services (1)
- ECMS 2012 (1)
- Emergenz (1)
Institute
- Fachbereich 4 (11) (remove)
An estimation of the number of multiplication and addition operations for training artififfcial neural networks by means of consecutive and parallel algorithms on a computer cluster is carried out. The evaluation of the efficiency of these algorithms is developed. The multilayer perceptron, the Volterra network and the cascade-correlation network are used as structures of artififfcial neural networks. Different methods of non-linear programming such as gradient and non-gradient methods are used for the calculation of the weight coefficients.