Synthesis of Brain-State-in-a-Box (BSB) based associative memories

Synthesis of Brain-State-in-a-Box (BSB) based associative memories

Presents a novel synthesis procedure to realize an associative memory using the Generalized-Brain-State-in-a-Box (GBSB) neural model. The implementation yields an interconnection structure that guarantees that the desired memory patterns are stored as asymptotically stable equilibrium points and tha...

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Veröffentlicht in:IEEE transactions on neural networks 1994-09, Vol.5 (5), p.730-737
Hauptverfasser: Lillo, W.E., Miller, D.C., Hui, S., Zak, S.H.
Format: Artikel
Sprache:eng
Schlagworte:
Aerospace engineering
Artificial neural networks
Associative memory
Biological neural networks
Control systems
Hamming distance
Intelligent networks
Network synthesis
Neural networks
Prototypes
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Zusammenfassung:Presents a novel synthesis procedure to realize an associative memory using the Generalized-Brain-State-in-a-Box (GBSB) neural model. The implementation yields an interconnection structure that guarantees that the desired memory patterns are stored as asymptotically stable equilibrium points and that possesses very few spurious states. Furthermore, the interconnection structure is in general non-symmetric. Simulation examples are given to illustrate the effectiveness of the proposed synthesis method. The results obtained for the GBSB model are successfully applied to other neural network models.< >
ISSN:1045-9227
1941-0093
DOI:10.1109/72.317725