<div class="description">
<dl><dd>Thesis advisor(s): Kelleher, Matthew D</dd>
<dd>"June 2000."</dd>
<dd>Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, June 2000</dd>
<dd>Includes bibliographical references (p. 43)</dd>
<dd>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</dd>
<dd>Mode of access: World Wide Web</dd>
<dd>System requirements: Adobe Acrobat reader</dd>
<dd>US Navy (USN) author</dd>
<dd>dk/dk cc:9116 08/03/00, updated 1/9/2008 maw</dd></dl><br>Subjects:</div>
<div class="fn value">
Cronley, Thomas J.</div>
Internet Archive identifier