The use of neural networks as a method of correlating thermal fluid data to provide useful information on thermal systems
By:  Thomas J. Cronley
Contributors: Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 2000
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 45
Description: 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.
Notes: Thesis advisor(s): Kelleher, Matthew D.

"June 2000."

Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, June 2000

Includes bibliographical references (p. 43).

"Approved for public release; distribution is unlimited."--Cover.

Also available online.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

US Navy (USN) author.

dk/dk cc:9116 08/03/00, updated 1/9/2008 maw.