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Parallel Fixed Point Implementation of a Radial Basis Function Network in an FPGA
This paper proposes a parallel fixed point radial basis function (RBF) artificial neural network (ANN), implemented in a field programmable gate array (FPGA) trained online with a least mean square (LMS) algorithm. The processing time and occupied area were analyzed for various fixed point formats....
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4239954/ https://ncbi.nlm.nih.gov/pubmed/25268918 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s141018223 |
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