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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(3): 280-283 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.127

Implementation of a Multi-Layer Perceptron Neural Networks in Multi -Width Fixed Point Coding

A.G. Blaiech, K. Ben Khalifa, M. Boubaker, and M.H. Bedoui

Abstract—The artificial neural networks (ANN) have emerged as interesting approaches in various fields of research and industry. ANNs are able to solve non-linear and complex problems where the classic methods do not provide solutions. These learning algorithms are particularly interesting as they are implemented in embedded systems. In order to obtain an efficient implementation, a compromise of time and area is needed In this paper, we will develop a methodology for automatic coding of fixed-point data for the implantation of artificial neural networks that are typically specified as floating-point. This methodology should determine the optimal encoding of various blocks of our ANN, to maximize accuracy and minimize the application area. The proposed methodology allows the automatic generation of VHDL code within an encoding in multi-width of multi-layer perceptron (MLP) model in the decision phase after a simulation in the learning phase with fixed point operators. This methodology has allowed a gain of 6% in LUTs compared to a single coding accuracy with the same network topology.

Index Terms—Floating point, fixed point, implementation, RNA, simulation, VHDL.

A. G. Blaiech. is now with the TIM Team, Laboratory of Biophysics, Faculty of Medicine of Monastir, University of Monastir, 5019 Tunisia. (email:ahmedghaziblaiech@yahoo.fr)
K. Ben Khalifa is now with TIM Team, Laboratory of Biophysics, Faculty of Medicine of Monastir, University of Monastir, 5019 Tunisia(email: khaled.benkhalifa@issatso.rnu.tn)
M. Boubaker is now with TIM Team, Laboratory of Biophysics, Faculty of Medicine of Monastir, University of Monastir, 5019 Tunisia(e-mail: Boubaker_mohamed@yahoo.fr)
M. H. Bedoui is now with TIM Team, Laboratory of Biophysics, Faculty of Medicine of Monastir, University of Monastir, 5019 Tunisia (e-mail: medhedi.bedoui@fmm.rnu.tn)

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Cite: A.G. Blaiech, K. Ben Khalifa, M. Boubaker, and M.H. Bedoui, "Implemntation of a Multi-Layer Perceptron Neural Networks in Multi-Width Fixed Point Coding," International Journal of Modeling and Optimization vol. 2, no. 3, pp. 280-283, 2012.

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