HIGHLIGHTS
- who: Péter Martinek et al. from the Department of Electronics Technology, Faculty of Electrical Engineering and Informatics, University have published the research: Investigating Machine Learning Techniques for Predicting the Process Characteristics of Stencil Printing, in the Journal: Materials 2022, 4734 of /2022/
- what: The authors aimed to fill the gaps identified in the literature and investigate the description of the stencil printing process using different machine_learning methods (neuro-fuzzy inference systems, artificial neural_networks, regression trees, boosted tree and support vector machines), taking into consideration the particle size in the solder paste and the size . . .
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