April 01, 2020 article Multi-objective optimization of injection-molded plastic parts using entropy weight, random forest, and genetic algorithm methods Journal of Polymer Engineering DOI: 10.1515/polyeng-2019-0326 OpenAlex Authors 0 Author list not loaded yet. Cited by 5 stored of 63 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Investigations on the applicability of invertible neural networks (INN) in the injection moulding process 2024 AIP conference proceedings conference-paper Engineering Injection Molding Process and Properties 0 citations Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer 2023 Interdisciplinary excellence accelerator series book-chapter Engineering Digital Transformation in Industry Open access 2 citations Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer 2023 Interdisciplinary excellence accelerator series book-chapter Engineering Digital Transformation in Industry Open access 2 citations Transfer learning with artificial neural networks between injection molding processes and different polymer materials 2021 Journal of Manufacturing Processes article Engineering Injection Molding Process and Properties cited by 1 patent 93 citations Comparison of design of experiment methods for modeling injection molding experiments using artificial neural networks 2020 Journal of Manufacturing Processes article Decision Sciences Optimal Experimental Design Methods 44 citations 5 results References 0