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  ; Perić, Zoran  ; Savić, Milan  ; Milojković, Marko  ; Vučić, Nikola  
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

Find the DOI


Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.