Modeling Multioutput Response Uses Ridge Regression and MLP Neural Network with Tuning Hyperparamete...
Modeling Multioutput Response Uses Ridge Regression and MLP Neural Network with Tuning Hyperparameter through Cross Validation
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West Yorkshire: Science and Information (SAI) Organization Limited
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English
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West Yorkshire: Science and Information (SAI) Organization Limited
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The multiple regression model is very popular among researchers in both field of social and science because it is easy to interpret and have a well-established theoretical framework. However, the multioutput multiple regression model is actually widely applied in the engineering field because in the industrial world there are many systems with mult...
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Modeling Multioutput Response Uses Ridge Regression and MLP Neural Network with Tuning Hyperparameter through Cross Validation
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TN_cdi_proquest_journals_2729734825
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2729734825
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ISSN
2158-107X
E-ISSN
2156-5570
DOI
10.14569/IJACSA.2022.0130992