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. ISSN 0378-4754

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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.

Item Type: Journal Article
Additional Information: Citation: Tisan, A. and Cirstea, M., 2013. SOM neural network design – a new Simulink library based approach targeting FPGA implementation. Mathematics and Computers in Simulation, 91, pp.134-149..
Faculty: Faculty of Science & Technology
Depositing User: Mr I Walker
Date Deposited: 18 Jul 2013 13:08
Last Modified: 07 Jul 2016 12:51
URI: http://arro.anglia.ac.uk/id/eprint/296350

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