An Evolutionary Field Theorem: Evolutionary Field Optimization in Training of Power-Weighted Multiplicative Neurons for Nitrogen Oxides-Sensitive Electronic Nose Applications

An Evolutionary Field Theorem: Evolutionary Field Optimization in Training of Power-Weighted Multiplicative Neurons for Nitrogen Oxides-Sensitive Electronic Nose Applications

Neuroevolutionary machine learning is an emerging topic in the evolutionary computation field and enables practical modeling solutions for data-driven engineering applications. Contributions of this study to the neuroevolutionary machine learning area are twofold: firstly, this study presents an evo...

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Bibliographic Details
Main Authors: Baris Baykant Alagoz, Ozlem Imik Simsek, Davut Ari, Aleksei Tepljakov, Eduard Petlenkov, Hossein Alimohammadi
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
neuroevolution
evolutionary optimization
multiplicative neuron model
concentration estimation
electronic nose
Industry 4.0
Online Access:https://www.mdpi.com/1424-8220/22/10/3836

Internet

https://www.mdpi.com/1424-8220/22/10/3836

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