A review on ANN based model for solar radiation and wind speed prediction with real-time data
Wind speed and solar radiation are the fundamental inputs used as a renewable energy
source. Both parameters are highly non-linear and environmental dependent. Hence …
source. Both parameters are highly non-linear and environmental dependent. Hence …
Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network
Q Guo, Z He, Z Wang - Aerosol and Air Quality Research, 2023 - Springer
Accurate prediction of air pollution is a difficult problem to be solved in atmospheric
environment research. An Artificial Neural Network (ANN) is exploited to predict hourly PM2 …
environment research. An Artificial Neural Network (ANN) is exploited to predict hourly PM2 …
Performance One-step secant Training Method for Forecasting Cases
The training function used in the ANN method, especially backpropagation, can produce
different forecasting accuracy, depending on the method parameters given and the data to …
different forecasting accuracy, depending on the method parameters given and the data to …
A comparative analysis of single and modular proton exchange membrane water electrolyzers for green hydrogen production-a case study in Trois-Rivières
Abstract Proton Exchange Membrane Water Electrolyzers demonstrate significant potential
for hydrogen production from renewable energy sources. Addressing the inherent …
for hydrogen production from renewable energy sources. Addressing the inherent …
Atmosphere air temperature forecasting using the honey badger optimization algorithm: on the warmest and coldest areas of the world
Precisely forecasting air temperature as a significant meteorological parameter has a critical
role in environment quality management. Hence, this study employs a hybrid intelligent …
role in environment quality management. Hence, this study employs a hybrid intelligent …
A performance comparison study on PM2. 5 prediction at industrial areas using different training algorithms of feedforward-backpropagation neural network (FBNN)
Presence of particulate matters with aerodynamic diameter of less than 2.5 μm (PM 2.5) in
the atmosphere is fast increasing in Malaysia due to industrialization and urbanization …
the atmosphere is fast increasing in Malaysia due to industrialization and urbanization …
Long-term trend analysis of climate variables for arid and semi-arid regions of an Indian State Rajasthan
Variations of rainfall as well as temperature for long term are one of the elements in
variability of climate. In this paper, trend detection has been studied for the period of rainfall …
variability of climate. In this paper, trend detection has been studied for the period of rainfall …
Temporal analysis of rainfall and drought characteristics over Jalore District of SW Rajasthan
Drought forecasting is being considered an important tool to help understand the rainfall
pattern and climate change trend. Drought is a prolonged period of months or years in which …
pattern and climate change trend. Drought is a prolonged period of months or years in which …
Investigating the effect of textural properties on CO2 adsorption in porous carbons via deep neural networks using various training algorithms
The adsorption of carbon dioxide (CO2) on porous carbon materials offers a promising
avenue for cost-effective CO2 emissions mitigation. This study investigates the impact of …
avenue for cost-effective CO2 emissions mitigation. This study investigates the impact of …
Algoritma Fungsi Perlatihan pada Machine Learning berbasis ANN untuk Peramalan Fenomena Bencana
Research has been carried out with several training functions using standard
backpropagation methods, One-Step Secant (OSS), and Bayesian regulation. The purpose …
backpropagation methods, One-Step Secant (OSS), and Bayesian regulation. The purpose …