Back to Search
Start Over
Um Metodo para Busca Automatica de Redes Neurais Artificiais
- Publication Year :
- 2021
-
Abstract
- This paper describes a method that automatically searches Artificial Neural Networks using Cellular Genetic Algorithms. The main difference of this method for a common genetic algorithm is the use of a cellular automaton capable of providing the location for individuals, reducing the possibility of local minima in search space. This method employs an evolutionary search for simultaneous choices of initial weights, transfer functions, architectures and learning rules. Experimental results have shown that the developed method can find compact, efficient networks with a satisfactory generalization power and with shorter training times when compared to other methods found in the literature.<br />Comment: 13 pages, in Portuguese, 4 figures, 2 tables
- Subjects :
- Computer Science - Neural and Evolutionary Computing
Subjects
Details
- Language :
- Portuguese
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2107.04702
- Document Type :
- Working Paper