[HTML][HTML] A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting
Ever since the first introduction of Artificial Intelligence into the field of hydrology, it has
further generated immense interest in researching aspects for further improvements to …
further generated immense interest in researching aspects for further improvements to …
New cuckoo search algorithms with enhanced exploration and exploitation properties
Cuckoo Search (CS) algorithm is nature inspired global optimization algorithm based on the
brood parasitic behavior of cuckoos. It has proved to be an efficient algorithm as it has been …
brood parasitic behavior of cuckoos. It has proved to be an efficient algorithm as it has been …
Advances of metaheuristic algorithms in training neural networks for industrial applications
In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
(ANN) model has attracted significant attention from researchers. Hybridization of superior …
Application of 3-algorithm ANN programming to predict the strength performance of hydrated-lime activated rice husk ash treated soil
Artificial neural network (ANN) method has been applied in the present work to predict the
California bearing ratio (CBR), unconfined compressive strength (UCS), and resistance …
California bearing ratio (CBR), unconfined compressive strength (UCS), and resistance …
A comparative review of current optimization algorithms for maximizing overcurrent relay selectivity and speed
SN Langazane, AK Saha - IEEE Access, 2024 - ieeexplore.ieee.org
An exponential growth and complexity in diverse distribution systems have contributed to
protection coordination challenges. Initially, protection coordination schemes were achieved …
protection coordination challenges. Initially, protection coordination schemes were achieved …
Applying artificial neural networks for systematic estimation of degree of fouling in heat exchangers
E Davoudi, B Vaferi - Chemical Engineering Research and Design, 2018 - Elsevier
Deposition of undesired materials on the heat transfer surface is one the most challenging
problems for application of heat exchangers. Experimental measurements of degree of …
problems for application of heat exchangers. Experimental measurements of degree of …
An analogy between various machine-learning techniques for detecting construction materials in digital images
Digital images and video clips collected at construction jobsites are commonly used for
extracting useful information. Exploring new applications for image processing techniques …
extracting useful information. Exploring new applications for image processing techniques …
A Levenberg–Marquardt backpropagation neural network for the numerical treatment of squeezing flow with heat transfer model
In this paper, the computational strength in terms of soft computing neural networks
backpropagated with the efficacy of Levenberg-Marquard training (NN-BLMT) is presented …
backpropagated with the efficacy of Levenberg-Marquard training (NN-BLMT) is presented …
[HTML][HTML] Machine learning algorithms in wood ash-cement-Nano TiO2-based mortar subjected to elevated temperatures
Mortar is subjected to high temperatures during fire attacks or when it is near heat-radiating
equipment like furnaces and reactors. The physical and microstructure of mortar were …
equipment like furnaces and reactors. The physical and microstructure of mortar were …
An effective fault diagnosis technique for wind energy conversion systems based on an improved particle swarm optimization
The current paper proposes intelligent Fault Detection and Diagnosis (FDD) approaches,
aimed to ensure the high-performance operation of Wind energy conversion (WEC) systems …
aimed to ensure the high-performance operation of Wind energy conversion (WEC) systems …