Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2010-12-22
Physics
Condensed Matter
Disordered Systems and Neural Networks
13 pages, 7 figures. Slightly extended version of the reports presented to IJCNN-2010 and ICANN-2010
Scientific paper
The local minima of a quadratic functional depending on binary variables are discussed. An arbitrary connection matrix can be presented in the form of quasi-Hebbian expansion where each pattern is supplied with its own individual weight. For such matrices statistical physics methods allow one to derive an equation describing local minima of the functional. A model where only one weight differs from other ones is discussed in detail. In this case the equation can be solved analytically. The critical values of the weight, for which the energy landscape is reconstructed, are obtained. Obtained results are confirmed by computer simulations.
Karandashev Yakov
Kryzhanovsky Boris
Litinskii Leonid
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