A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction
Financial time series prediction is a hot topic in machine learning field, but existing works barely catch the point of such data. In this study, we employ the most suitable preprocessing technology, machine learning model, and training algorithm to construct a novel seasonal-trend decomposition-bas...
Saved in:
Published in | Applied soft computing Vol. 108; p. 107488 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.09.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!