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Interpolation Techniques for Modeling and Estimating Indoor Radon Concentrations in Ohio: Comparative Study
Article (Web of Science)
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cited authors
Gummadi, Jayaram; Bhatt, Deepak; Adusumilli, Srujana; Devabhaktuni, Vijay; Acosta, William; Kumar, Ashok
publication date
January 1, 2015
webpage
Web of Science
published in
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
Journal
Research
author keyword
Ohio
artificial neural networks
correction-based artificial neural networks
cross-validation
knowledge-based neural networks
prior knowledge input method
radon
random forest regression
source difference method
space-mapped neural networks
support vector regression
category
ENVIRONMENTAL SCIENCES
Category
Additional Document Info
start page
169
end page
177
volume
34
issue
1