DocumentCode
3304805
Title
Problem solving based on evolutionary neural network algorithms
Author
Kocalka, Peter ; Vojtek, Vlado
Author_Institution
Fac. of Electr. Eng. & Inf. Technol., Slovak Univ. of Technol., Bratislava, Slovakia
fYear
2001
fDate
19-22 June 2001
Firstpage
145
Abstract
It is generally known that neural network algorithms are used for solving certain types of problems. Usually, we have a given problem and we look for the most suitable type of network, which would be able to solve the problem in the most effective way. We tried to suggest a method based on the fact that we will not look for the suitable network but the network will evolve itself.
Keywords
genetic algorithms; neural nets; problem solving; evolutionary neural network algorithms; genetic algorithm; problem solving; Binary codes; Computer science; DNA; Evolutionary computation; Genetic algorithms; Genetic mutations; Information technology; Neural networks; Problem-solving; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces, 2001. ITI 2001. Proceedings of the 23rd International Conference on
ISSN
1330-1012
Print_ISBN
953-96769-3-2
Type
conf
DOI
10.1109/ITI.2001.938011
Filename
938011
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