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dc.contributor.authorBonnici, Mark-
dc.contributor.authorGatt, Edward-
dc.contributor.authorMicallef, Joseph-
dc.contributor.authorGrech, Ivan-
dc.date.accessioned2017-03-20T09:49:36Z-
dc.date.available2017-03-20T09:49:36Z-
dc.date.issued2006-
dc.identifier.citationBonnici, M., Gatt, E., Micallef, J., & Grech, I. (2006). Artificial neural network optimization for FPGA. 13th IEEE International Conference on Electronics, Circuits and Systems, Nice. 1340-1343.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/17632-
dc.description.abstractThis paper describes a cost effective artificial neural network implementation on an FPGA in three easy steps. Furthermore, it proposes the manner in which network layers are mapped into a particular hardware structure such that the performance and efficiency, with which the hardware resources are used, are greatly improved. A reconfigurable, parameterised neural node is presented as the basic building block for neural implementations, and is modelled in Verilog (HDL). The results show a high degree of parallelism, fast performance and most important low area resources.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectField programmable gate arraysen_GB
dc.subjectNeural networks (Computer science)en_GB
dc.subjectComputer hardware description languagesen_GB
dc.titleArtificial neural network optimization for FPGAen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename13th IEEE International Conference on Electronics, Circuits and Systemsen_GB
dc.bibliographicCitation.conferenceplaceNice, France, 10-13/12/2006en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/ICECS.2006.379730-
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