Author:László Nádai

Publications
EasyChair Preprint no. 2781
EasyChair Preprint no. 2763
EasyChair Preprint no. 2467
EasyChair Preprint no. 2353
EasyChair Preprint no. 2352
EasyChair Preprint no. 2266
EasyChair Preprint no. 2030
EasyChair Preprint no. 1824
EasyChair Preprint no. 394

Keyphrases

Adaptive Neuro-Fuzzy Inference System, Adaptive Neuro-Fuzzy Inference System (ANFIS), Air conditioning, analysis, ANFIS model, ANFIS-GA, ANFIS-PSO, ANN model, ann pso model, ANN-PSO, Ant Colony Optimization Algorithm (ACO), Artificial Neural Network2, Artificial Neural Networks (ANN), Big Data, breast cancer, breast cancer dataset, Breast Cancer Detection, Bubble column reactor, cancer mass, cascade, CIGS solar cell, combine harvester, comparative analysis, Computational Fluid Dynamics (CFD), Confusion Matrix, control system, coronary artery disease, coronary artery disease diagnosis, cross validation technique, current conduction, Data Mining, Data Mining Technique, developed country, dynamical downscaling, electrical engineering budapest, electrical engineering obuda university, ELM model, elm rbf model, energy consumption, epithelial cell size, evaluation criterion, exergy destruction, expert system, Extreme Learning Machine, Extreme Learning Machine (ELM), Fan speed, first module, flow pattern, fold cross, fuzzy inference system particle, Fuzzy Linguistic Variable, fuzzy rule, fuzzy system, Health Informatics, Heart Disease, heat treatment, hidden layer, high performance control system, HVAC, HVAC control system, HVAC system, hybrid machine learning3, Hybrid Machine learning model, int agric eng, kalman kando faculty, Large Social Event, Laser hardening, linguistic variable, machine learning6, machine learning method2, machine learning technique, Malignant breast cancer, mobility patterns, model number, Model Predictive Control, multilayer fuzzy expert system, negative rate, neural network3, Particle Swarm Optimization2, Particle Swarm Optimization (PSO), performance analysis, prediction, prediction model, Predictive Features, Radial Basis Function, Radial Basis Function (RBF), regia technical faculty obuda, regional climate change model, renewable energy, rmse r2 mape model, Schematic representation, Soft computing technique, Solid phase transformation, Support Vector Machine, Support Vector Machine (SVM), swarm size, target value, technical faculty obuda university, Temporal-temperature profile, thermal comfort, thin film, two and four-point probe, wind turbine, Wisconsin Dataset.