An end user platform for implementing artificial neutron networks on FPGA

Alin Tisan, Jeannette Chin

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)


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 languageEnglish
Number of pages4
Publication statusPublished - 1 Oct 2015
Event2015 IEEE 13th International Conference on Industrial Informatics (INDIN) -
Duration: 22 Jul 201524 Jul 2015


Conference2015 IEEE 13th International Conference on Industrial Informatics (INDIN)


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