Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres

DOI10.1016/j.neunet.2007.04.025zbMath1119.68393OpenAlexW2054980912WikidataQ50996800 ScholiaQ50996800MaRDI QIDQ2373903

Gordon Wichern, Michael Mungiole, Mahmood R. Azimi-Sadjadi

Publication date: 16 July 2007

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10217/67877

zbMATH Keywords

parabolic equationatmospheric acousticsfuzzy-logic fusionturbulent scattering

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

Uses Software

• ElemStatLearn

Cites Work

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• Adaptive Modelling, Estimation and Fusion from Data
• Neural-network-based fuzzy logic control and decision system
• Fuzzy sets
• The elements of statistical learning. Data mining, inference, and prediction

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