Approximation of phenol concentration using novel hybrid computational intelligence methods

DOI10.2478/amcs-2014-0013zbMath1292.68134DBLPjournals/amcs/PlawiakT14OpenAlexW2100964683WikidataQ59350108 ScholiaQ59350108MaRDI QIDQ2509459

Ryszard Tadeusiewicz, Paweł Pławiak

Publication date: 28 July 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amcs-2014-0013

zbMATH Keywords

chemometricspattern recognitionneural networksgenetic algorithmssoft computingfuzzy systemsevolutionary-neural systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Neural networks for/in biological studies, artificial life and related topics (92B20) Pattern recognition, speech recognition (68T10)

Related Items (1)

Elman neural network for modeling and predictive control of delayed dynamic systems

Cites Work

• Fuzzy and neuro-fuzzy intelligent systems
• Surrogate data: A novel approach to object detection
• Statistical Estimation of the Dynamics of Watershed Dams
• Computational Intelligence
• Optimal observation strategies for model-based fault detection in distributed systems

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