SOM neural network design – a new Simulink library based approach targeting FPGA implementation

Tisan, Alin and Cirstea, Marcian N. (2013) SOM neural network design – a new Simulink library based approach targeting FPGA implementation. Mathematics and Computers in Simulation, 91. pp. 134-149. ISSN 0378-4754

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Official URL: https://doi.org/10.1016/j.matcom.2012.05.006

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.

Item Type: Journal Article
Keywords: Self organizing map artificial neural network, FPGA, Simulink library, ANN modelling
Faculty: ARCHIVED Faculty of Science & Technology (until September 2018)
Depositing User: Repository Admin
Date Deposited: 18 Jul 2013 13:08
Last Modified: 09 Sep 2021 19:02
URI: https://arro.anglia.ac.uk/id/eprint/296350

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