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Capacity of diluted multi-state neural networks
- Source :
- Journal of Physics A: Mathematical and General. 27:1151-1161
- Publication Year :
- 1994
- Publisher :
- IOP Publishing, 1994.
-
Abstract
- The optimal storage capacity is studied for diluted networks with multi-state neurons and continuous respectively discrete couplings, within the replica-symmetric Gardner approach. The Gardner-Derrida line, the de Almeida-Thouless line and the zero-entropy line are compared and the validity of the replica-symmetric approximation is discussed in detail. The distribution of the synaptic couplings is determined. The results are analysed in terms of the number of states of the neuron, the distribution of the stored patterns, the amount of dilution and the number of discrete values for the couplings.
- Subjects :
- Spin glass
Condensed matter physics
Artificial neural network
Multi state
Distribution (number theory)
General Physics and Astronomy
Statistical and Nonlinear Physics
Condensed Matter::Disordered Systems and Neural Networks
Dilution
Ising model
Line (text file)
Biological system
Mathematical Physics
Mathematics
Subjects
Details
- ISSN :
- 13616447 and 03054470
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Journal of Physics A: Mathematical and General
- Accession number :
- edsair.doi...........701584058206468fb9674e53503f443f
- Full Text :
- https://doi.org/10.1088/0305-4470/27/4/011