Now showing items 1-3 of 3
An indoor predicting climate conditions approach using Internet-of-things and artificial hydrocarbon networks
(Elsevier B.V., 2019)
The prediction and understanding of environmental conditions are of great importance to prevent and analyze changes in environment, supporting meteorological based sectors, such as agriculture or smart cities. In that ...
A robust control scheme for renewable-based distributed generators using artificial hydrocarbon networks
(MDPI AG, 2019)
Distributed generators (DGs) based on renewable energy systems such as wind turbines, solar panels, and storage systems, are key in transforming the current electric grid into a green and sustainable network. These DGs are ...
Versatility of artificial hydrocarbon networks for supervised learning
(Springer Verlag, 2019)
Surveys on supervised machine show that each technique has strengths and weaknesses that make each of them more suitable for a particular domain or learning task. No technique is capable to tackle every supervised learning ...