An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1435-5663
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength ; day:2 ; month:11 ; year:2020 ; pages:1-23
Engineering with computers ; (2.11.2020), 1-23
- Creator
-
Cao, Minh-Tu
Hoang, Nhat-Duc
Nhu, Viet Ha
Bui, Dieu Tien
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00366-020-01116-6
- URN
-
urn:nbn:de:101:1-2020121520522538858273
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:29 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Cao, Minh-Tu
- Hoang, Nhat-Duc
- Nhu, Viet Ha
- Bui, Dieu Tien
- SpringerLink (Online service)
Other Objects (12)
View selection in multi-view stacking: choosing the meta-learner
Multi-layer stacking ensemble learners for low footprint network intrusion detection
A novel stacking ensemble learner for predicting residual strength of corroded pipelines
Experimental behaviour of optimized hybrid coupled shear walls
Stacking, blending & reclaiming
Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids
Electric potential energy optimized 3D radial sampling trajectories for MRI
Controlling Dzyaloshinskii-Moriya Interaction via Chirality Dependent Atomic-Layer Stacking, Insulator Capping and Electric Field
An optimized enhanced-multi learner approach towards speaker identification based on single-sound segments
Molecular Stacking on Graphene
Molecular Stacking on Graphene
Molecular Stacking on Graphene
View selection in multi-view stacking: choosing the meta-learner
Multi-layer stacking ensemble learners for low footprint network intrusion detection
A novel stacking ensemble learner for predicting residual strength of corroded pipelines
Experimental behaviour of optimized hybrid coupled shear walls
Stacking, blending & reclaiming
Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids
Electric potential energy optimized 3D radial sampling trajectories for MRI
Controlling Dzyaloshinskii-Moriya Interaction via Chirality Dependent Atomic-Layer Stacking, Insulator Capping and Electric Field
An optimized enhanced-multi learner approach towards speaker identification based on single-sound segments
Molecular Stacking on Graphene
Molecular Stacking on Graphene
Molecular Stacking on Graphene
View selection in multi-view stacking: choosing the meta-learner
Multi-layer stacking ensemble learners for low footprint network intrusion detection
A novel stacking ensemble learner for predicting residual strength of corroded pipelines
Experimental behaviour of optimized hybrid coupled shear walls
Stacking, blending & reclaiming
Optimized Integration of Electric Vehicles in Low Voltage Distribution Grids
Electric potential energy optimized 3D radial sampling trajectories for MRI
Controlling Dzyaloshinskii-Moriya Interaction via Chirality Dependent Atomic-Layer Stacking, Insulator Capping and Electric Field
An optimized enhanced-multi learner approach towards speaker identification based on single-sound segments
Molecular Stacking on Graphene
Molecular Stacking on Graphene