MLP+H: A hybrid neural architecture formed by the interaction of Hopfield and Multi-Layer Perceptron neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2686, Issue , 2003, Pages 166-173

  Oliveira, Clayton Silva ^a   Del Moral Hernandez, Emílio ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

NETWORK ARCHITECTURE; NETWORK LAYERS; NEURAL NETWORKS;

BETTER PERFORMANCE; BINARY PATTERNS; EXPERIMENTAL CHARACTERIZATION; HOPFIELD NETWORKS; HYBRID NEURAL NETWORKS; MULTI LAYER PERCEPTRON; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; NEURAL ARCHITECTURES;

HOPFIELD NEURAL NETWORKS;

EID: 21144440118     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Article

References (7)

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4. Kosko, B., "Bidirectional Associative Memories", IEEE Trans. on Systems, Man, and Cybernetics, Vol. 18, pp.49-60. Jan-Feb. 1988.
5. McEliece, R., E. Posner, E., and S. Venkatesh, "The Capacity of the Hopfield Associative Memory" Information Theory, IEEE Trans. on, Vol.: 33 Issue: 4, Jul 1987 pp. 461-482
6. Oppenheim, Alan V., and R. W. Schafer, Discrete-Time Signal Processing, Englewood Cliffs, NJ, Prentice Hall, 2000.
7. Rumelhart, D. E. and J. L. McClelland, eds., Parallel Distributed Processing: Explorations in the Microstiucture of Cognition, V1, Cambridge, MA: MIT Press, 1986.