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A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network
Joint Authors
Ben Khalifa, Khaled
Blaiech, Ahmed Ghazi
Bedoui, Mohamed Hédi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
In this article, we propose to design a new modular architecture for a self-organizing map (SOM) neural network.
The proposed approach, called systolic-SOM (SSOM), is based on the use of a generic model inspired by a systolic movement.
This model is formed by two levels of nested parallelism of neurons and connections.
Thus, this solution provides a distributed set of independent computations between the processing units called neuroprocessors (NPs) which define the SSOM architecture.
The NP modules have an innovative architecture compared to those proposed in the literature.
Indeed, each NP performs three different tasks without requiring additional external modules.
To validate our approach, we evaluate the performance of several SOM network architectures after their integration on an FPGA support.
This architecture has achieved a performance almost twice as fast as that obtained in the recent literature.
American Psychological Association (APA)
Ben Khalifa, Khaled& Blaiech, Ahmed Ghazi& Bedoui, Mohamed Hédi. 2019. A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1129596
Modern Language Association (MLA)
Ben Khalifa, Khaled…[et al.]. A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1129596
American Medical Association (AMA)
Ben Khalifa, Khaled& Blaiech, Ahmed Ghazi& Bedoui, Mohamed Hédi. A Novel Hardware Systolic Architecture of a Self-Organizing Map Neural Network. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1129596
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129596