Application of PCA with logistic regression in embankment drainage
Brak miniatury
Data
2022
Inny tytuł
Typ
Artykuł recenzyjny
Redaktor
dc.contributor.advisor
Dyscyplina PBN
Informatyka techniczna i telekomunikacja
Czasopismo lub seria
PRZEGLĄD ELEKTROTECHNICZNY
ISSN
0033-2097
ISBN
DOI
10.15199/48.2022.04.27
Strona internetowa
Wydawca
Wydawca
Wydanie
Numer
Strony od-do
Tytuł monografii
item.page.defence
Tytuł tomu
Opis
Rodzaj licencji
Abstrakt (en)
The article presents a method using deep-sea probes, which were used to collect measurements in electrical tomography on the leakage of flood embankments. For this purpose, the main components analysis and elasticnet in logistic regression were used. The results of research on the method of spatial analysis of object moisture are presented. Research focused on the development and comparison of algorithms and models for data analysis and reconstruction using electrical tomography. The presented algorithms were used in the process of converting the input electrical values into the conductance represented by the pixels of the output image. The article presents PCA methods in logistic regression and elastic network in logistic regression to identify leakages in shafts. Deep probes were used to collect data in electrical impedance tomography.