title: Real-time synthesis of sparsely interconnected neural associative memories.
abstract: The problem of implementing associative memories using sparsely interconnected generalized Brain-State-in-a-Box (gBSB) network is addressed in this paper. In particular, a "designer" neural network that synthesizes the associative memories is proposed. An upper bound on the time required for the designer network to reach a solution is determined. A neighborhood criterion with toroidal geometry for the cellular gBSB network is analyzed, in which the number of adjacent cells is independent of the generic cell location. A design method of neural associative memories with prespecified interconnecting weights is presented. The effectiveness of the proposed synthesis method is demonstrated with numerical examples.
authors.affiliation: School of Electrical and Computer Engineering, Box 540, Purdue University, West Lafayette, USA
authors.forename: Hubert Y.
authors.initials: HY
authors.lastname: Chan
authors.forename: Stanislaw H.
authors.initials: SH
authors.lastname: Zak