Original Articles: SOM neural network design - A new Simulink library based approach targeting FPGA implementation

Authors:
A. Tisan;M. Cirstea
Affiliations:
Department of Computing and Technology, Anglia Ruskin University,UK;Department of Computing and Technology, Anglia Ruskin University,UK
Venue:
Mathematics and Computers in Simulation
Year:
2013

Citing 8
Cited 0

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Abstract

The paper presents a method for FPGA implementation of Self-Organizing Map (SOM) artificial neural networks with on-chip learning algorithm. The method aims to build up a specific neural network using generic blocks designed in the MathWorks Simulink environment. The main characteristics of this original solution are: on-chip learning algorithm implementation, high reconfiguration capability and operation under real time constraints. An extended analysis has been carried out on the hardware resources used to implement the whole SOM network, as well as each individual component block.