The use of neural networks as a method of correlating thermal fluid data to provide useful information on thermal systems
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Authors
Cronley, Thomas J.
Subjects
Neural Networks
Data Correlation
Thermal Systems
Data Correlation
Thermal Systems
Advisors
Kelleher, Matthew D.
Date of Issue
2000-06
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
A study on the use of neural networks as a method of correlating thermal fluid data to provide useful information on thermal systems was conducted using a neural network code package. Two separate thermal fluid systems were analyzed: tube bank data with variable geometries and tube bank boiling data with variable parameters. Both studies show the effectiveness of neural networks as a viable alternative to the current practice of correlating data. This is achieved by displaying a reduction in error, requiring fewer assumptions, and providing an easier method of devising predictions and correlations
Type
Thesis
Description
Series/Report No
Department
Organization
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NPS Report Number
Sponsors
Funder
Format
xiii, 45 p.;28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.