Abstract
In the paper a Genetic Algorithm in order to select the optimal topology of a Multi Layer Perceptron is adopted. Two different problems are considered. The first one is to select the optimal number of neurons in a structure with one hidden layer. The second one is the choice of the number of layers into which a fixed number of neurons has to be arranged, to solve a given problem. To this aim, a suitable set of genetic operators has been introduced.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
G. Cybenko, “Approximation by superposition of sigmoidal function”, Mathematics of control signals and systems, Vol. 2, 1989, pp.303–314
P. Arena, L. Fortuna, S. Graziani, G. Nunnari, “A monitoring approach for the design of a multi-layer neural network”, COMADEM’ 91, Southampton, U:K
J. D. Schaffer, R. Caruana, L. Eshelman, “Using genetic search to exploit the emergent behavior of neural network”, Phillips Laboratories 1989
S. A. Harp, T. Samad “Genetic Synthesis of neural network architecture”, Handbook of genetic algorithms, L. Davis, Van Nostrand Reinhold, 1991
P. Arena, L. Fortuna, S. Graziani, G. Muscato, “A real-time implementation of a multi-layer perceptron with automatic tuning of learning parameters” Algorithms and architecture for real-time control, IFAC Workshop Series, N. 4, 1992
P. Arena, R. Caponetto, L. Fortuna, M.G. Xibilia, “Genetic algorithm to select optimal neural network topology” 35-th Midwest Conference on Circuits and Systems, Washington, U.S.A., August 1992
D. E. Goldberg, “Genetic algorithms in search, optimization & machine learning”, Addison-Wesley, 1984
D. E. Rumelhart, G. E. Hinton and R.J. Williams, “Learning internal represntation by error propagation”, Parallel Distributed Processing: Exploration in the microstructure of cognition, D. E. Rumelhart and J. E. McLelland, Cambridge, Mass: MIT Press, 1986, pp. 303–314
K. S. Narendra, “Identification and control of dynamical systems using neural network”, IEEE Trans. on Neural Network, No. 1, March 1990
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1993 Springer-Verlag/Wien
About this paper
Cite this paper
Arena, P., Caponetto, R., Fortuna, L., Xibilia, M.G. (1993). M. L. P. Optimal Topology via Genetic Algorithms. In: Albrecht, R.F., Reeves, C.R., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7533-0_97
Download citation
DOI: https://doi.org/10.1007/978-3-7091-7533-0_97
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82459-7
Online ISBN: 978-3-7091-7533-0
eBook Packages: Springer Book Archive