[HTML][HTML] Random vector functional link network: recent developments, applications, and future directions
Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
classification, regression and clustering, etc. Generally, the back propagation (BP) based …
[HTML][HTML] Prediction of rock blasting induced air overpressure using a self-adaptive weighted kernel ridge regression
Blasting operations are widely recognized as the most frequently used rock breakage
approach in the field of Civil and Mining Engineering. However, the induced air …
approach in the field of Civil and Mining Engineering. However, the induced air …
Graph embedded intuitionistic fuzzy RVFL for class imbalance learning
The domain of machine learning is confronted with a crucial research area known as class
imbalance learning, which presents considerable hurdles in the precise classification of …
imbalance learning, which presents considerable hurdles in the precise classification of …
Fast and Accurate Short-Term Load Forecasting with a Hybrid Model
SM Shin, A Rasheed, P Kil-Heum, KC Veluvolu - Electronics, 2024 - mdpi.com
Short-term electric load forecasting (STLF) plays a pivotal role in modern power system
management, bolstering forecasting accuracy and efficiency. This enhancement assists …
management, bolstering forecasting accuracy and efficiency. This enhancement assists …
Prediction and Minimization of Blast induced Air-Overpressure Using Kernel Extreme Learning Machine and Jaya Algorithm
Blasting operations are frequently used in the field of Civil and Mining Engineering.
However, the air overpressure (AOp) induced by blasting operation can cause damages to …
However, the air overpressure (AOp) induced by blasting operation can cause damages to …