<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-46K6UEWT</identifier><date>2024</date><creator>Huo, Liang'an</creator><creator>Song, W. T.</creator><relation>documents/doc/4/URN_NBN_SI_doc-46K6UEWT_001.pdf</relation><relation>documents/doc/4/URN_NBN_SI_doc-46K6UEWT_001.txt</relation><format format_type="volume">19</format><format format_type="issue">3</format><format format_type="type">article</format><format format_type="extent">str. 347-357</format><identifier identifier_type="DOI">10.14743/apem2024.3.511</identifier><identifier identifier_type="ISSN">1854-6250</identifier><identifier identifier_type="COBISSID_HOST">266961667</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-46K6UEWT</identifier><language>eng</language><publisher publisher_location="Maribor">Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</publisher><source>Advances in production engineering and management</source><rights>BY</rights><subject language_type_id="eng">GA</subject><subject language_type_id="eng">genetic algorithm</subject><subject language_type_id="slv">kvaliteta</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="eng">NDT</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">optimizacija kontrole</subject><subject language_type_id="eng">quality control optimization</subject><subject language_type_id="eng">quality prediction</subject><subject language_type_id="eng">quality stability assessment</subject><subject language_type_id="eng">ultrasonic nondestructive testing</subject><subject language_type_id="eng">Wavelet Neural Network</subject><subject language_type_id="eng">WNN</subject><title>Machine learning for enhancing manufacturing quality control in ultrasonic nondestructive testing: a wavelet neural network and genetic algorithm approach</title></Record>