Imputation of Rainfall Data Using the Sine Cosine Function Fitting Neural Network

Imputation of Rainfall Data Using the Sine Cosine Function Fitting Neural Network

Missing rainfall data have reduced the quality of hydrological data analysis because they are the essential input for hydrological modeling. Much research has focused on rainfall data imputation. However, the compatibility of precipitation (rainfall) and non-precipitation (meteorology) as input data...

Full description

Bibliographic Details
Main Authors: Po Chan Chiu, Ali Selamat, Ondrej Krejcar, King Kuok Kuok, Enrique Herrera-Viedma, Giuseppe Fenza
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2021-09-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
imputation
missing rainfall data
principal component analysis
sine cosine neural network
deep learning
Online Access:https://www.ijimai.org/journal/bibcite/reference/3001

Internet

https://www.ijimai.org/journal/bibcite/reference/3001

Similar Items