Cascade recursion models of computing the temperatures of underground layers

An RBF neural network was used to construct computational models of the underground temperatures of different layers, using ground-surface parameters and the temperatures of various underground layers. Because series recursion models also enable researchers to use above-ground surface parameters to...

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Bibliographic Details
Published inScience China. Technological sciences no. z2; pp. 30 - 38
Main Author HAN Liqun BI Siwen SONG Shixin
Format Journal Article
LanguageEnglish
Published 2006
Subjects
cascade
modeling
network
RBF
recursion
temperature
underground
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Summary:An RBF neural network was used to construct computational models of the underground temperatures of different layers, using ground-surface parameters and the temperatures of various underground layers. Because series recursion models also enable researchers to use above-ground surface parameters to compute the temperatures of different underground layers, this method provides a new way of using thermal infrared remote sensing to monitor the suture zones of large areas of blocks and to research thermal anomalies in geologic structures.
Bibliography:TH
11-5845/TH
ISSN:1674-7321
1869-1900