<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-8VLU7H3D</identifier><date>2025</date><creator>Arul, M.</creator><creator>Balasubramani, S.</creator><creator>Dinesh, S.</creator><creator>Kannan, Pattanam Ramamoorthy</creator><relation>documents/doc/8/URN_NBN_SI_doc-8VLU7H3D_001.pdf</relation><relation>documents/doc/8/URN_NBN_SI_doc-8VLU7H3D_001.txt</relation><format format_type="issue">3</format><format format_type="volume">59</format><format format_type="type">article</format><format format_type="extent">str. 443–450</format><identifier identifier_type="DOI">10.17222/mit.2025.1393</identifier><identifier identifier_type="ISSN">1580-2949</identifier><identifier identifier_type="COBISSID_HOST">240187651</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-8VLU7H3D</identifier><language>eng</language><publisher publisher_location="Ljubljana">Inštitut za kovinske materiale in tehnologije</publisher><source>Materiali in tehnologije</source><rights>InC</rights><subject language_type_id="slv">hibridna optimizacija</subject><subject language_type_id="eng">hybrid optimization</subject><subject language_type_id="slv">integriteta površine</subject><subject language_type_id="eng">surface integrity</subject><subject language_type_id="slv">Taguchi metoda in napoved z globokim učenjem na osnovi nevronskih mrež</subject><subject language_type_id="eng">Taguchi with deep learning prediction</subject><subject language_type_id="eng">Ti-6Al-4V</subject><subject language_type_id="eng">wire electrical discharge machining</subject><subject language_type_id="slv">zlitina Ti-6Al-4V</subject><subject language_type_id="slv">žična elektro-erozija (WDEM)</subject><title>Inteligentna hibridna optimizacija elektro-erozijskega postopka mehanske obdelave zlitine Ti-6Al-4V s pomočjo Taguchijeve metode in analize variance za izboljšanje integritete površine in njene natančnosti</title><title>Intelligent hybrid optimization of WEDM for Ti-6Al-4V using Taguchi deep learning and ANOVA for enhanced surface integrity and prediction accuracy</title></Record>