An Analysis of FPGA Hardware Platform Based Artificial Neural Network

The artificial neural networks (ANN) algorithm is a mathematical model of a network by applying neurons and usually, it is represented as a directed graph with vertexes and edges. This algorithm is a paradigm of information processing to describe arbitrary functions and inspired by the biological ne...

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Bibliographic Details
Published in:Journal of physics. Conference series 2019-05, Vol.1201 (1), p.12009
Main Author: Wibowo, F W
Format: Article
Language:English
Subjects:
Algorithms
Artificial neural networks
Data processing
Field programmable gate arrays
Graph theory
Graphical representations
Hardware
Neural networks
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Summary:The artificial neural networks (ANN) algorithm is a mathematical model of a network by applying neurons and usually, it is represented as a directed graph with vertexes and edges. This algorithm is a paradigm of information processing to describe arbitrary functions and inspired by the biological nervous systems. This algorithm can learn a non-linearly separated set of outputs. A much software-based application has implemented this algorithm but the challenge in the hardware-based is still possible to do in mapping the output into binary values. This paper addressed on the platform of the hardware-based the ANN algorithm. The field programmable gate arrays (FPGAs) is closely related to this platform. The FPGAs have achieved a successful penetration in different multi-disciplinary domains.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1201/1/012009