Feedback associative memory based on a new hybrid model of generalized regression and self-feedback neural networks

Neural Networks : the Official Journal of the International Neural Network Society
Mahmood AmiriSylvain Chartier

Abstract

The focus of this paper is to propose a hybrid neural network model for associative recall of analog and digital patterns. This hybrid model consists of self-feedback neural network structures (SFNN) in parallel with generalized regression neural networks (GRNN). Using a new one-shot learning algorithm developed in the paper, pattern representations are first stored as the asymptotically stable fixed points of the SFNN. Then in the retrieving process, each pattern is applied to the GRNN to make the corresponding initial condition and to initiate the dynamical equations of the SFNN that should in turn output the corresponding representation. In this way, the corresponding stored patterns are retrieved even under high noise degradation. Moreover, contrary to many associative memories, the proposed hybrid model is without any spurious attractors and can store both binary and real-value patterns without any preprocessing. Several simulations confirm the theoretical analyses of the model. Results indicate that the performance of the hybrid model is better than that of recurrent associative memory and competitive with other classes of networks.

References

Apr 1, 1982·Proceedings of the National Academy of Sciences of the United States of America·J J Hopfield
Jul 1, 1993·Biological Psychiatry·W J Freeman
Jan 1, 1987·Physical Review A: General Physics·I Kanter, H Sompolinsky
Mar 2, 1987·Physical Review Letters·S Diederich, M Opper
Jun 6, 2002·IEEE Transactions on Bio-medical Engineering·Mark P WachowiakAdel S Elmaghraby
Mar 29, 2003·Neural Networks : the Official Journal of the International Neural Network Society·A J. Storkey, R Valabregue
Sep 24, 2004·IEEE Transactions on Neural Networks·Leszek Rutkowski
Dec 14, 2005·IEEE Transactions on Neural Networks·Sylvain Chartier, Robert Proulx
Jan 1, 1996·IEEE Transactions on Medical Imaging·K S ChengC W Mao
Jan 1, 1996·IEEE Transactions on Neural Networks·J Begin, R Proulx
Jan 1, 1995·IEEE Transactions on Neural Networks·C C Ku, K Y Lee
Jan 1, 1993·IEEE Transactions on Neural Networks·A Atiya, Y S Abu-Mostafa
Jan 1, 1991·IEEE Transactions on Neural Networks·D F Specht
Jul 15, 2009·IEEE Transactions on Neural Networks·Sylvain ChartierMahmood Amiri

❮ Previous
Next ❯

Citations

Mar 19, 2013·Neural Networks : the Official Journal of the International Neural Network Society·Hong-Gui HanJun-Fei Qiao
Oct 8, 2011·Journal of Theoretical Biology·Mahmood AmiriMahyar Janahmadi

❮ Previous
Next ❯

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.

Related Papers

IEEE Transactions on Neural Networks
D F Specht
Neural Networks : the Official Journal of the International Neural Network Society
Hong-Gui HanJun-Fei Qiao
Neural Networks : the Official Journal of the International Neural Network Society
Alexander Goltsev, Vladimir Gritsenko
© 2021 Meta ULC. All rights reserved