<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-ZA22TF0E</identifier><date>2023</date><creator>Liang, Yunji</creator><creator>Liang, Zilu</creator><relation>documents/doc/Z/URN_NBN_SI_doc-ZA22TF0E_001.pdf</relation><relation>documents/doc/Z/URN_NBN_SI_doc-ZA22TF0E_001.txt</relation><format format_type="volume">47</format><format format_type="issue">9</format><format format_type="type">article</format><format format_type="extent">str. 165-171</format><identifier identifier_type="DOI">10.31449/inf.v47i9.5220</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">210772739</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-ZA22TF0E</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">finančne goljufije</subject><subject language_type_id="slv">metoda podpornih vektorjev</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">umetne nevronske mreže</subject><subject language_type_id="slv">vzvratno razširjanje</subject><title>A study of identification of corporate financial fraud using neural network algorithms in an information-based environment</title></Record>