Machine Learning and Statistical Methods for Studying Voids and Photothermal Effects of a Semiconduc...
Machine Learning and Statistical Methods for Studying Voids and Photothermal Effects of a Semiconductor Rotational Medium with Thermal Relaxation Time
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Publisher
New York: Hindawi
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Language
English
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New York: Hindawi
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Machine learning is the process of creating algorithms that extract useful facts from data automatically. The goal of this paper is to use an artificial neural network and a cubic spline model to predict various physical quantities displacement components in a thermoplastic solid, such as elastic waves, vector form, volume fraction field, thermal w...
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Machine Learning and Statistical Methods for Studying Voids and Photothermal Effects of a Semiconductor Rotational Medium with Thermal Relaxation Time
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TN_cdi_proquest_journals_2636149055
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2636149055
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ISSN
1024-123X
E-ISSN
1563-5147
DOI
10.1155/2022/7205380
