In this paper a genetic model is presented and the dynamics in the thermodynamic limit is derived. Analogies and differences with neural networks are discussed and attractors of the genetic model are characterized as equilibria points of Hopfield's networks. The neural network and the genetic system are experimentally compared as approximate algorithms for the MAX-CUT problem.
A genetic model and the Hopfield networks / A. Bertoni, P. Campadelli, M. Carpentieri, G. Grossi (LECTURE NOTES IN COMPUTER SCIENCE). - In: Artificial Neural Networks - ICANN 96 / [a cura di] C. Malsburg, W. Seelen, J.C. Vorbrüggen, B. Sendhoff. - [s.l] : Springer, 1996. - ISBN 978-3-540-61510-1. - pp. 463-468 (( Intervento presentato al 6. convegno ICANN tenutosi a Bochum nel 1996 [10.1007/3-540-61510-5_80].
A genetic model and the Hopfield networks
A. Bertoni;P. Campadelli;G. Grossi
1996
Abstract
In this paper a genetic model is presented and the dynamics in the thermodynamic limit is derived. Analogies and differences with neural networks are discussed and attractors of the genetic model are characterized as equilibria points of Hopfield's networks. The neural network and the genetic system are experimentally compared as approximate algorithms for the MAX-CUT problem.
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