An end user platform for implementing artificial neutron networks on FPGA

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Tisan, Alin and Chin, Jeannette ORCID: https://orcid.org/0000-0002-9398-5579 (2015) An end user platform for implementing artificial neutron networks on FPGA. In: 2015 IEEE 13th International Conference on Industrial Informatics (INDIN), 2015-07-22 - 2015-07-24.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	array(0x7feaf0e41e50)
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Data Science and AI
Related URLs:	http://arro.anglia.ac.uk/700864/
Depositing User:	LivePure Connector
Date Deposited:	27 Jun 2019 06:30
Last Modified:	24 Sep 2024 07:22
URI:	https://ueaeprints.uea.ac.uk/id/eprint/71555
DOI:	10.1109/INDIN.2015.7281848

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