Back to Search
Start Over
Neural Network Training with Global Optimization Techniques.
- Source :
-
International Journal of Neural Systems . Apr2003, Vol. 13 Issue 2, p77. 10p. - Publication Year :
- 2003
-
Abstract
- This paper presents an approach of using Simulated Annealing and Tabu Search for the simultaneous optimization of neural network architectures and weights. The problem considered is the odor recognition in an artificial nose. Both methods have produced networks with high classification performance and low complexity. Generalization has been improved by using the backpropagation algorithm for fine tuning. The combination of simple and traditional search methods has shown to be very suitable for generating compact and efficient networks. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SIMULATED annealing
*ARTIFICIAL neural networks
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 01290657
- Volume :
- 13
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Neural Systems
- Publication Type :
- Academic Journal
- Accession number :
- 10454933
- Full Text :
- https://doi.org/10.1142/S0129065703001467