Towards a platform for FPGA implementation of the MLP based back propagation algorithm

Authors:
Nouma Izeboudjen;Ahcene Farah;Hamid Bessalah;Ahmed Bouridene;Nassim Chikhi
Affiliations:
Centre de développement des technologies Avancées (CDTA), Alger, Algérie;Ajman University, Faculty of Computer Science & Computer Engineering;Centre de développement des technologies Avancées (CDTA), Alger, Algérie;Queens University of Belfast, Department of Electrical Engineering & Computer Science, Belfast, Northern Ireland, UKNorthern Ireland, UK;Centre de développement des technologies Avancées (CDTA), Alger, Algérie
Venue:
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Year:
2007

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Neural networks: algorithms, applications, and programming techniques

Neural networks: algorithms, applications, and programming techniques
FPGA Implementations of Neural Networks

FPGA Implementations of Neural Networks

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Abstract

This paper describes a new platform for FPGA implementation of the multilayer perceptron (MLP) back propagation algorithm (BP). The three implementation figures of the algorithm are considered. These are the off type implementation, the on chip global implementation and the dynamic reconfiguration of the ANN. To achieve our goal, a design for reuse strategy has been applied. To validate our approach, three case studies are considered using the Virtex-II and Virtex-4 FPGA devices. A comparative study is done and new conclusions are given.