<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-20R4QMLK</identifier><date>2024</date><creator>Gao, Lei</creator><creator>Wang, Heng</creator><relation>documents/doc/2/URN_NBN_SI_doc-20R4QMLK_001.pdf</relation><relation>documents/doc/2/URN_NBN_SI_doc-20R4QMLK_001.txt</relation><format format_type="issue">13</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 191-204</format><identifier identifier_type="DOI">10.31449/inf.v48i13.6011</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">220522499</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-20R4QMLK</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoko prepričanje</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">posedanje temeljev</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Monitoring and prediction of settlement and deformation of ancient building foundations based on neural networks</title></Record>