Neural Decision Tree: A New Tool for Building Forecast Models for Plasmasphere Dynamics
Abstract The Neural Decision Tree (NDT) is a hybrid supervised machine‐learning algorithm that combines the self‐limiting property of a decision tree (Classification and Regression Tree [CART]) algorithm with the artificial neural network. We demonstrate the use of NDT for a regression problem of bu...
Main Authors: | Yu L. Lu, Irina S. Zhelavskaya, Chunming Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2022-07-01
|
Series: | Earth and Space Science |
Online Access: | https://doi.org/10.1029/2021EA002175 |
Similar Items
-
The Plasmasphere Boundary Layer
by: D. L. Carpenter, et al.
Published: (2004-12-01) -
State studies of Earth's plasmasphere
by: Jingtian Lü, et al.
Published: (2023-07-01) -
Plasmaspheric electron content
by: G. K. Hartmann
Published: (1979-04-01) -
Ionospheric signatures of plasmaspheric tails
by: Foster, John C
Published: (2018) -
Light ion dynamics in the topside ionosphere and plasmasphere during geomagnetic storms
by: I. P. Pakhotin, et al.
Published: (2023-04-01)