An end user platform for implementing artificial neutron networks on FPGA

Tisan, Alin and Chin, Jeannette (2015) An end user platform for implementing artificial neutron networks on FPGA. In: 2015 IEEE 13th International Conference on Industrial Informatics (INDIN), Cambridge, UK.

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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)
Keywords:	artificial neural networks, End User Programming, HW / SW co-design and co-simulation
Faculty:	ARCHIVED Faculty of Science & Technology (until September 2018)
Depositing User:	Jeannette Chin
Date Deposited:	30 Sep 2016 10:12
Last Modified:	06 Apr 2022 10:46
URI:	https://arro.anglia.ac.uk/id/eprint/700864

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