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dc.contributor.authorÖğrenci, Arif Selçuk
dc.date.accessioned2019-06-27T08:06:19Z
dc.date.available2019-06-27T08:06:19Z
dc.date.issued2008
dc.identifier.isbn978-960-6766-56-5
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1182
dc.identifier.urihttp://www.wseas.us/e-library/conferences/2008/sofia/NN/nn36.pdf
dc.description.abstractA model for FPGA implementation of multilayer perceptron neural networks is presented. The model tries to incorporate object oriented design principles in the analysis training and design of components using hardware description languages. The synthesis will be based on the tools supplied by the FPGA vendors. The results indicate that the method can be utilized and it can be further improved to create a general methodology that bridges the gap between hardware and software in embedded system design.en_US]
dc.language.isoengen_US
dc.publisherWorld Scientific and Engineering Academy and Societyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHardware synthesisen_US
dc.subjectSoftware architectureen_US
dc.titleAbstraction in FPGA implementation of neural networksen_US
dc.typeconferenceObjecten_US
dc.identifier.startpage221en_US
dc.identifier.endpage224
dc.relation.journalProceedings Of The 9th Wseas International Conference On Neural Networks (Nn' 08): Advanced Topics On Neural Networksen_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000257699300040en_US
dc.institutionauthorÖğrenci, Arif Selçuken_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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