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An end user platform for implementing artificial neutron networks on FPGA

conference contribution
posted on 2023-07-26, 13:56 authored by Alin Tisan, Jeannette Chin
The paper presents a novel neural design methodology based on the End User Programming concept. The proposed solution empowers end users, by means of abstracting the low-level hardware functionalities, to hardware implement Artificial Neural Networks (ANN) using field-programmable gate arrays (FPGA). The main outcomes include rapid ANN design and hardware implementation. A case study of an ANN as a pattern recognition module of an artificial olfaction system trained to identify four coffee brands is presented. An extended analysis has been carried out regarding the recognition rates versus training data features and data representation.

History

Page range

856-859

ISSN

2378-363X

Publisher

IEEE

Place of publication

Online

ISBN

978-1-4799-6649-3

Conference proceeding

2015 IEEE 13th International Conference on Industrial Informatics (INDIN)

Name of event

2015 IEEE 13th International Conference on Industrial Informatics (INDIN)

Location

Cambridge, UK

Event start date

2015-07-22

Event finish date

2015-07-24

Language

  • other

Legacy posted date

2016-09-30

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

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