Akar, Mehmet2016-01-082016-01-081996http://hdl.handle.net/11693/17812Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent University, 1996.Thesis (Master's) -- Bilkent University, 1996.Includes bibliographical references leaves 66-68.This thesis is concerned with the anaiysis and synthesis of neurai networks to be used as associative memories. First considering a discrete-time neurai network modei which uses a quantizer-type muitiievei activation function, a way of seiecting the connection weights is proposed. In addition to this, the idea of overiapping decompositions, which is extensiveiy used in the soiution of iarge-scaie probiems, is appiied to discrete-time neurai networks with binary neurons. 'I’lie necesscuy toois for expansions and contractions are derived, and algorithms for decomposition of a set equiiibria into smaiier dimensionai equiiibria sets and for designing neurai networks for these smaiier ciimensionai equiiibria sets are given. The concept is iiiustrated with various exarnpies.ix, 68 leavesEnglishinfo:eu-repo/semantics/openAccessHopfieid neurai networkcissociative memory designmuitiievei activation functionoveriapping decompositionQA76.87 .A33 1996Neural networks (Computer science).Associative storage.Machine theory.Thesis