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 details. In this case the equation can be solved analytically. Obtained results are confirmed by computer simulations. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Karandashev, Y., Kryzhanovsky, B., & Litinskii, L. (2010). Local minima of a quadratic binary functional with a quasi-hebbian connection matrix. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6354 LNCS, pp. 41–51). https://doi.org/10.1007/978-3-642-15825-4_5
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