Results
eNauka >
Results >
SQNR analysis and classification accuracy of the 24-bit floating point representation of the Laplacian data Source applied for quantization of weights of a multilayer perceptron
| Title: | SQNR analysis and classification accuracy of the 24-bit floating point representation of the Laplacian data Source applied for quantization of weights of a multilayer perceptron | Authors: | Dinčić, Milan |
Issue Date: | 2021 | Publication: | XV International Conference on Systems, Automatic Control and Measurements (SAUM) | Type: | Conference Paper | ISBN: | 978-86-6125-243-3 Search Idenfier |
Collation: | str. 144-147 | URI: | https://enauka.gov.rs/handle/123456789/851031 | Metadata source: | (Preuzeto iz ORCID-a) Vučić, Nikola | Availability note: | На основу доступних података није могуће утврдити да ли резултат постоји | M-category: | Mp. category will be shown later |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.