Now showing items 1-4 of 4
Evolving fuzzy neural hydrocarbon networks : a model based on organic compounds
(Elsevier B.V., 2020-09)
This paper presents a new evolving intelligent model capable of combining the techniques and concepts of artificial neural networks, fuzzy systems and artificial hydrocarbon networks, in which the latter aggregates concepts ...
Stochastic parallel extreme artificial hydrocarbon networks : an implementation for fast and robust supervised machine learning in high-dimensional data
(Elsevier Ltd., 2020-03)
Artificial hydrocarbon networks (AHN) – a supervised learning method inspired on organic chemical structures and mechanisms – have shown improvements in predictive power and interpretability in comparison with other ...
A comparative analysis of evolutionary learning in artificial hydrocarbon networks
(Springer Science and Business Media Deutschland GmbH, 2020-10-07)
Artificial hydrocarbon networks (AHN) is a supervised learning model that is loosely inspired on the interactions of molecules in organic compounds. This method is able to model data in a hierarchical and robust way. ...
Non-contact breathing rate monitoring system using a magnification technique and artificial hydrocarbon networks
In this paper, we present a new non-contact strategy to estimate the breathing rate based on the Eulerian motion video magnification technique and an Artificial Hydrocarbon Networks (AHN) as classifier. After the magnification ...