148 citations · 185 across the 8 of their papers we have counts for
8 papers
Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction
Randall Claywell, Laszlo Nadai, Felde Imre +1
The accurate prediction of the solar Diffuse Fraction (DF), sometimes called the Diffuse Ratio, is an important topic for solar energy research. In the present study, the current s…
Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System
Sina Ardabili, Bertalan Beszedes, Laszlo Nadai +3
Hybridization of machine learning methods with soft computing techniques is an essential approach to improve the performance of the prediction models. Hybrid machine learning model…
Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
Laszlo Nadai, Felde Imre, Sina Ardabili +3
Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace. Tuning the combine harvesters an…
Electrical Characterization of CIGS Thin Film Solar Cells by Two and Four-Wires Probe Technique
Amirhosein Mosavi, Beszedes Bertalan, Felde Imre +2
The characterization of thin film solar cells is of huge importance for obtaining high open circuit voltage and low recombination rates from the interfaces or within the bulk of th…
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model
Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar +6
Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, the coronary artery disease (CAD) is considered as a common cardi…
Modeling Climate Change Impact on Wind Power Resources Using Adaptive Neuro-Fuzzy Inference System
Narjes Nabipour, Amir Mosavi, Eva Hajnal +3
Climate change impacts and adaptations are the subjects to ongoing issues that attract the attention of many researchers. Insight into the wind power potential in an area and its p…
Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
Shahab Shamshirband, Meisam Babanezhad, Amir Mosavi +4
In order to perceive the behavior presented by the multiphase chemical reactors, the ant colony optimization algorithm was combined with computational fluid dynamics (CFD) data. Th…
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System
Sanaz Mojrian, Gergo Pinter, Javad Hassannataj Joloudari +4
Mammography is often used as the most common laboratory method for the detection of breast cancer, yet associated with the high cost and many side effects. Machine learning predict…