[PDF][PDF] Support vector machine and fuzzy logic
J Menyhárt, R Szabolcsi - Acta Polytechnica Hungarica, 2016 - researchgate.net
The article gives a short description of the history of the Support Vector Machine (SVM)
method and fuzzy logic and their main parameters. It describes how SVM can be used for …
method and fuzzy logic and their main parameters. It describes how SVM can be used for …
[HTML][HTML] Method to improve airborne pollution forecasting by using ant colony optimization and neuro-fuzzy algorithms
E Martinez-Zeron, MA Aceves-Fernandez… - International Journal of …, 2014 - scirp.org
This contribution shows the feasibility of improving the modeling of the non-linear behavior
of airborne pollution in large cities. In previous works, models have been constructed using …
of airborne pollution in large cities. In previous works, models have been constructed using …
Enhancement of a Neuro-Fuzzy Models Using Ant Colony Optimization for the Prediction Level of CO Pollution
ZE Martinez, MAF Aceves, ORD Palma… - 2014 13th Mexican …, 2014 - ieeexplore.ieee.org
Air pollution has a non-linear behaviour over a day, in which can be detected patterns of
behaviour to shape them, a way of doing this is using fuzzy logic, as is in this case, where …
behaviour to shape them, a way of doing this is using fuzzy logic, as is in this case, where …
Fuzzy Classification of Cyprus Urban Centers Based on Particulate Matter Concentrations
N Gkaretsa, L Iliadis, S Spartalis… - … and Innovations: 9th IFIP …, 2013 - Springer
This research aims in the design and implementation of a flexible Computational
Intelligence System (CIS) for the assessment of air pollution risk, caused by PM 10 particles …
Intelligence System (CIS) for the assessment of air pollution risk, caused by PM 10 particles …