An end user platform for implementing artificial neutron networks on FPGA

Alin Tisan; Jeannette Chin

doi:10.1109/INDIN.2015.7281848

An end user platform for implementing artificial neutron networks on FPGA

Alin Tisan, Jeannette Chin

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages	856-859
Number of pages	4
DOIs	https://doi.org/10.1109/INDIN.2015.7281848
Publication status	Published - 1 Oct 2015
Event	2015 IEEE 13th International Conference on Industrial Informatics (INDIN) - Duration: 22 Jul 2015 → 24 Jul 2015

Conference

Conference	2015 IEEE 13th International Conference on Industrial Informatics (INDIN)
Period	22/07/15 → 24/07/15

Keywords

ARRAY(0x7feaf0e41e50)

Access to Document

10.1109/INDIN.2015.7281848

http://arro.anglia.ac.uk/700864/

Cite this

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