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A methodology to assess and improve the physics consistency of an artificial neural network regression model for engineering applications.
E. Rajasekhar Nicodemus
Published in:
Adv. Model. Simul. Eng. Sci. (2022)
Keyphrases
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regression model
regression analysis
explanatory variables
linear regression model
neural network
prediction model
regression methods
kernel regression
model selection
support vector regression
linear model
computer science
probabilistic model
regression method
condition number
generalized linear models