Abstract
The mean-field theory of dilute spin glasses and neural networks is studied in the limit where the average coordination number is finite (i.e., the average number of neighbors connected to each site). The zero-temperature phase diagram is calculated. Comparison between the properties of dilute neural networks and fully connected nets is presented. The relationship between the different phases and the percolation transition is discussed.KeywordsSpin GlassMonte Carlo StepAverage Coordination NumberPercolation TransitionRetrieval StateThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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