A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks

Artificial Neural Networks: Biological Inspirations – ICANN 2005 - Lecture Notes in Computer Science ◽

10.1007/11550822_28 ◽

2005 ◽

pp. 173-178 ◽

Author(s):

Rogério M. Gomes ◽

Antônio P. Braga ◽

Henrique E. Borges

Keyword(s):

Neural Networks ◽

Associative Memories

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Multistability of Delayed Hybrid Impulsive Neural Networks With Application to Associative Memories

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2870553 ◽

2019 ◽

Vol 30 (5) ◽

pp. 1537-1551 ◽

Author(s):

Bin Hu ◽

Zhi-Hong Guan ◽

Guanrong Chen ◽

Frank L. Lewis

Keyword(s):

Neural Networks ◽

Associative Memories

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On the dynamics of neural networks realizing associative memories of first and higher order

Network Computation in Neural Systems ◽

10.1088/0954-898x_1_3_004 ◽

1990 ◽

Vol 1 (3) ◽

pp. 345-364 ◽

Author(s):

Nicolaos B Karayiannis ◽

Anastasios N Venetsanopoulos

Keyword(s):

Neural Networks ◽

Higher Order ◽

Associative Memories

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Classification Method by Using the Associative Memories in Cellular Neural Networks

Studies in Classification, Data Analysis, and Knowledge Organization - Data Science, Classification, and Related Methods ◽

10.1007/978-4-431-65950-1_37 ◽

1998 ◽

pp. 334-340

Author(s):

Akihiro Kanagawa ◽

Hiroaki Kawabata ◽

Hiromitsu Takahashi

Keyword(s):

Neural Networks ◽

Cellular Neural Networks ◽

Classification Method ◽

Associative Memories

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On the associative memories in cellular neural networks

1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation ◽

10.1109/icsmc.1997.626223 ◽

2002 ◽

Author(s):

H. Kawabata ◽

M. Nanba ◽

Z. Zhang

Keyword(s):

Neural Networks ◽

Cellular Neural Networks ◽

Associative Memories

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Discrete-time cellular neural networks for associative memories: a new design method via iterative learning and forgetting algorithms

38th Midwest Symposium on Circuits and Systems. Proceedings ◽

10.1109/mwscas.1995.504496 ◽

2002 ◽

Author(s):

M. Brucoli ◽

L. Carnimeo ◽

G. Grassi

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Design Method ◽

Cellular Neural Networks ◽

Iterative Learning ◽

Associative Memories

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Linear programming, recurrent associative memories, and feed-forward neural networks

Computers & Mathematics with Applications ◽

10.1016/0898-1221(91)90036-4 ◽

1991 ◽

Vol 22 (11) ◽

pp. 71-90 ◽

Author(s):

James E. Moore ◽

Moon Kim ◽

Jong-Gook Seo ◽

Ying Wu ◽

Robert Kalaba

Keyword(s):

Neural Networks ◽

Linear Programming ◽

Associative Memories ◽

Feed Forward ◽

Feed Forward Neural Networks

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Sparsely interconnected neural networks for associative memories with applications to cellular neural networks

IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing ◽

10.1109/82.285706 ◽

1994 ◽

Vol 41 (4) ◽

pp. 295-307 ◽

Author(s):

Derong Liu ◽

A.N. Michel

Keyword(s):

Neural Networks ◽

Cellular Neural Networks ◽

Associative Memories

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Successive learning in hetero-associative memories using chaotic neural networks

1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227) ◽

10.1109/ijcnn.1998.685927 ◽

2002 ◽

Author(s):

Y. Osana ◽

M. Hagiwara

Keyword(s):

Neural Networks ◽

Associative Memories ◽

Chaotic Neural Networks

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Cellular neural networks for associative memories

IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing ◽

10.1109/82.219843 ◽

1993 ◽

Vol 40 (2) ◽

pp. 119-121 ◽

Author(s):

D. Liu ◽

A.N. Michel

Keyword(s):

Neural Networks ◽

Cellular Neural Networks ◽

Associative Memories

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LEARNING RULES FOR ASSOCIATIVE MEMORIES

Modern Physics Letters B ◽

10.1142/s0217984991002367 ◽

1991 ◽

Vol 05 (30) ◽

pp. 1963-1972

Author(s):

EDUARDO G. VERGINI ◽

MARCELO G. BLATT

Keyword(s):

Neural Networks ◽

Associative Memories ◽

We discuss some of the most popular learning rules that can be used to construct Neural Networks that act as associative memories. The Hebb’s rule, perceptron type algorithms and the projector rule with local versions are included.

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