A multivariate decomposition–ensemble model for estimating long-term rainfall dynamics
This study aims to present a novel decomposition–ensemble model that uses multivariate
data. Two algorithms, Light Gradient Boosting Machine (LightGBM) and Extreme Gradient …
data. Two algorithms, Light Gradient Boosting Machine (LightGBM) and Extreme Gradient …
Long-term temporal trend analysis of climatic parameters using polynomial regression analysis over the Fasa Plain, southern Iran
M Bahrami, MR Mahmoudi - Meteorology and Atmospheric Physics, 2022 - Springer
The climate conditions of Iran vary from extremely arid in south parts to very humid in the
northern parts. In the past two decades, severe droughts and population growth as well as …
northern parts. In the past two decades, severe droughts and population growth as well as …
Multilayer perceptron-based predictive model using wavelet transform for the reconstruction of missing rainfall data
The quality and completeness of rainfall data is a critical aspect in time series analysis and
for the prediction of future water-related disasters. An accurate estimation of missing data is …
for the prediction of future water-related disasters. An accurate estimation of missing data is …
Comparative evaluation of techniques for missing rainfall data estimation in arid regions: case study of Al-Madinah Al-Munawarah, Saudi Arabia
Rainfall plays an essential part in numerous aspects of the natural world, including the
environment, ecosystems, human societies, and the global climate system. The lack of …
environment, ecosystems, human societies, and the global climate system. The lack of …
A GMDH approach for forecast monthly rainfall in southeast of pará
E Alves, M Lopes, F Sales, A Balieiro… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
Modeling for rainfall forecasting is widely used in climate forecasting. A high volume of
precipitation or scarcity brings serious problems for society. Thus, a methodology for monthly …
precipitation or scarcity brings serious problems for society. Thus, a methodology for monthly …
A Combined Linear–Nonlinear Short-Term Rainfall Forecast Method Using GNSS-Derived PWV
Z Ma, G Guo, M Cai, X Chen, W Li, L Zhang - Atmosphere, 2022 - mdpi.com
Short-term rainfall forecast using GNSS-derived tropospheric parameters has gradually
become a research hotspot in GNSS meteorology. Nevertheless, the occurrence of rainfall …
become a research hotspot in GNSS meteorology. Nevertheless, the occurrence of rainfall …
Structure of Different Kinds of ANN Models
This chapter discusses how artificial neural networks (ANNs) can be used to estimate ore
grades. ANN models can successfully estimate ore grades using advanced operators. The …
grades. ANN models can successfully estimate ore grades using advanced operators. The …
Predicting Rainfall Using Inclusive Multiple Model and Radial Basis Function Neural Network
This study used the salp swarm algorithm (SSA), Henry gas solubility optimization algorithm
(HGSOA), and crow optimization algorithm (COA) to adjust the radial basis function neural …
(HGSOA), and crow optimization algorithm (COA) to adjust the radial basis function neural …
[PDF][PDF] STATISTICAL AND MACHINE LEARNING TECHNIQUES APPLIED TO THE PREDICTION OF TOTAL RAINFALL IN URBAN CITIES, NORTHERN PART OF …
TS ABDALSAMAD - 2022 - docs.neu.edu.tr
I hereby declare that all information, documents, analysis and results in this thesis have
been collected and presented according to the academic rules and ethical guidelines of …
been collected and presented according to the academic rules and ethical guidelines of …
[引用][C] Prediksi Curah Hujan Bulanan Berdasrkan Parameter Cuaca Menggunakan Jaringan Saraf Tiruan Levenberg Marquardt
S Setiyaris, MA Hariyadi, C Crysdian - Jurnal Media Informatika Budidarma, 2023