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
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;
Conference_Titel :
Information Technology Interfaces, 2001. ITI 2001. Proceedings of the 23rd International Conference on
Print_ISBN :
953-96769-3-2
DOI :
10.1109/ITI.2001.938011
