A Novel Multichannel Long Short-Term Memory Method With Time Series for Soil Temperature Modeling
Soil temperature (Ts) plays an important role in earth sciences. The temporal and spatial variations of Ts are affected by several factors. To acquire the deterministic component and the stochastic component of time series data and further improve estimation performance, a multichanne long short-ter...
Main Authors: | Qingliang Li, Yang Zhao, Fanhua Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9214479/ |
Similar Items
-
A combined method for short-term traffic flow prediction based on recurrent neural network
by: Saiqun Lu, et al.
Published: (2021-02-01) -
AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures
by: Shruti Kaushik, et al.
Published: (2020-03-01) -
Predicting Water Availability in Water Bodies under the Influence of Precipitation and Water Management Actions Using VAR/VECM/LSTM
by: Harleen Kaur, et al.
Published: (2021-09-01) -
A Hybrid Model for Air Quality Prediction Based on Data Decomposition
by: Shurui Fan, et al.
Published: (2021-05-01) -
Proactive Inhibition in Short-Term Memory
by: Pennal, Billy E.
Published: (1970)