VLSI implementation of GRBF (Gaussian Radial Basis Function) networks
dc.contributor.author | Çevikbaş, I. Can | |
dc.contributor.author | Öğrenci, Arif Selçuk | |
dc.contributor.author | Dündar, Günhan | |
dc.contributor.author | Balkır, Sina | |
dc.date.accessioned | 2019-06-28T11:12:00Z | |
dc.date.available | 2019-06-28T11:12:00Z | |
dc.date.issued | 2000 | |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.description.abstract | A GRBF network is designed for VLSI implementation. Building blocks of the network consist mainly of analog circuits: op-amp multiplier multiplying DAC (digital to analog converter) floating resistor summer and exponentiator. Parameters of the network (center width of the Gaussian function and output layer weights) are represented digitally for convenient interfacing. It is shown that individual GRBF units allow independent tuning of center width and amplitude. Several network structures are simulated as function approximation examples and the performance is verified to be satisfactory. | en_US] |
dc.identifier.citation | 9 | |
dc.identifier.doi | 10.1109/ISCAS.2000.856143 | en_US |
dc.identifier.endpage | III-649 | |
dc.identifier.issn | 0271-4310 | en_US |
dc.identifier.issn | 0271-4310 | |
dc.identifier.scopus | 2-s2.0-0033715972 | en_US |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | III-646 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/1756 | |
dc.identifier.uri | https://doi.org/10.1109/ISCAS.2000.856143 | |
dc.identifier.volume | 3 | en_US |
dc.identifier.wosquality | N/A | |
dc.institutionauthor | Öğrenci, Arif Selçuk | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.journal | 2000 IEEE International Symposium on Circuits and Systems (ISCAS) | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.title | VLSI implementation of GRBF (Gaussian Radial Basis Function) networks | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |
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