Improving the Forecasting Accuracy Based on the Lunar Calendar in Modeling Rainfall Levels Using the Bi-LSTM Method through the Grid Search Approach
Rainfall is one of the climatic factors that influence various human activities and affect decision making in daily life activities. High intensity of rainfall can turn into a threat and cause serious problems such as causing various natural disasters. Therefore, it is essential to conduct rainfall...
Main Authors: | Gumgum Darmawan, Budhi Handoko, Defi Yusti Faidah, Dian Islamiaty |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2023-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2023/1863346 |
Similar Items
-
Prediksi Harga Saham Syariah menggunakan Bidirectional Long Short Term Memory (BiLSTM) dan Algoritma Grid Search
by: Dian Islamiaty Puteri, et al.
Published: (2024-02-01) -
Analysis of Solar and Lunar Motions in the Seonmyeong Calendar
by: Ki-Won Lee
Published: (2019-06-01) -
Fine-Tuning of Predictive Models CNN-LSTM and CONV-LSTM for Nowcasting PM<sub>2.5</sub> Level
by: Tafia Hasna Putri, et al.
Published: (2024-01-01) -
Lunar calendar practices in Islamic, Chinese, Hindu and other civilizations /
Published: (2000) -
Field Data Forecasting Using LSTM and Bi-LSTM Approaches
by: Paweena Suebsombut, et al.
Published: (2021-12-01)