On the dynamics of a Recurrent Hopfield Network

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Standard

On the dynamics of a Recurrent Hopfield Network. / Garimella, R.; Kicanaoglu, B.; Gabbouj, M.

2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. p. 1-8.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Harvard

Garimella, R, Kicanaoglu, B & Gabbouj, M 2015, On the dynamics of a Recurrent Hopfield Network. in 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8, International Joint Conference on Neural Networks, 1/01/00. https://doi.org/10.1109/IJCNN.2015.7280504

APA

Garimella, R., Kicanaoglu, B., & Gabbouj, M. (2015). On the dynamics of a Recurrent Hopfield Network. In 2015 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. https://doi.org/10.1109/IJCNN.2015.7280504

Vancouver

Garimella R, Kicanaoglu B, Gabbouj M. On the dynamics of a Recurrent Hopfield Network. In 2015 International Joint Conference on Neural Networks (IJCNN). IEEE. 2015. p. 1-8 https://doi.org/10.1109/IJCNN.2015.7280504

Author

Garimella, R. ; Kicanaoglu, B. ; Gabbouj, M. / On the dynamics of a Recurrent Hopfield Network. 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. pp. 1-8

Bibtex - Download

@inproceedings{90be4207464949c8bab14b5722f61dd4,

title = "On the dynamics of a Recurrent Hopfield Network",

abstract = "In this research paper novel real/complex valued recurrent Hopfield Neural Network (RHNN) is proposed. The method of synthesizing the energy landscape of such a network and the experimental investigation of dynamics of Recurrent Hopfield Network is discussed. Parallel modes of operation (other than fully parallel mode) in layered RHNN is proposed. Also, certain potential applications are proposed.",

keywords = "Hopfield neural nets, energy landscape, layered RHNN, parallel modes, real/complex valued recurrent Hopfield neural network, recurrent Hopfield network dynamics, Artificial neural networks, Associative memory, Biological system modeling, Hopfield neural networks",

author = "R. Garimella and B. Kicanaoglu and M. Gabbouj",

year = "2015",

month = "7",

day = "1",

doi = "10.1109/IJCNN.2015.7280504",

language = "English",

isbn = "978-1-4799-1959-8",

pages = "1--8",

booktitle = "2015 International Joint Conference on Neural Networks (IJCNN)",

publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - On the dynamics of a Recurrent Hopfield Network

AU - Garimella, R.

AU - Kicanaoglu, B.

AU - Gabbouj, M.

PY - 2015/7/1

Y1 - 2015/7/1

N2 - In this research paper novel real/complex valued recurrent Hopfield Neural Network (RHNN) is proposed. The method of synthesizing the energy landscape of such a network and the experimental investigation of dynamics of Recurrent Hopfield Network is discussed. Parallel modes of operation (other than fully parallel mode) in layered RHNN is proposed. Also, certain potential applications are proposed.

AB - In this research paper novel real/complex valued recurrent Hopfield Neural Network (RHNN) is proposed. The method of synthesizing the energy landscape of such a network and the experimental investigation of dynamics of Recurrent Hopfield Network is discussed. Parallel modes of operation (other than fully parallel mode) in layered RHNN is proposed. Also, certain potential applications are proposed.

KW - Hopfield neural nets

KW - energy landscape

KW - layered RHNN

KW - parallel modes

KW - real/complex valued recurrent Hopfield neural network

KW - recurrent Hopfield network dynamics

KW - Artificial neural networks

KW - Associative memory

KW - Biological system modeling

KW - Hopfield neural networks

U2 - 10.1109/IJCNN.2015.7280504

DO - 10.1109/IJCNN.2015.7280504

M3 - Conference contribution

SN - 978-1-4799-1959-8

SP - 1

EP - 8

BT - 2015 International Joint Conference on Neural Networks (IJCNN)

PB - IEEE

ER -

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