Concept of the Loss function in the case of Supervised Machine Learning and Physics Machine Learning approach.

Concept of the Loss function in the case of Supervised Machine Learning and Physics Machine Learning approach.

<p>Concept of the Loss function in the case of Supervised Machine Learning and Physics Machine Learning approach.</p>

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Bibliographic Details
Main Author: Akshansh Mishra (21001499) (author)
Other Authors: Vijaykumar Jatt (21001502) (author), Eyob Messele Sefene (21001505) (author), Sachin Salunkhe (18385161) (author), Robert Cep (18385164) (author), Emad Abouel Nasr (8960795) (author)
Published: 2025
Subjects:
Biophysics
Medicine
Genetics
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
peak temperature distribution
integrated ml approach
informed neural networks
eight regression algorithms
classify deposition quality
supervised machine learning
hinders process optimization
afsd still need
driven learning
work employs
work demonstrates
wave propagation
thermal profiles
thermal management
tailoring microstructure
resulting microstructure
quantum mechanics
process parameters
process factors
novel solid
lowest mse
heat transfer
fusing data
circumvents issues
bridging statistical
better understood
based modeling
also applied
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