File:Application of neural networks to the F-A-18 Engine Condition Monitoring System (IA applicationofneu00geng).pdf

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Original file ‎(650 × 839 pixels, file size: 5.21 MB, MIME type: application/pdf, 136 pages)

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Summary[edit]

Application of neural networks to the F/A-18 Engine Condition Monitoring System   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Author
Gengo, Joseph Thomas.;Collins, Daniel Joseph.
image of artwork listed in title parameter on this page
Title
Application of neural networks to the F/A-18 Engine Condition Monitoring System
Publisher
Monterey, California: U.S. Naval Postgraduate School
Description
Thesis advisor, D.J. Collins
ADA219820
Thesis (M.S. in Aero. Eng.) Naval Postgraduate School, Sept. 1989
Includes bibliographical references

Subjects:
Language en_US
Publication date 1 September 1989, 00:00:00
Current location
IA Collections: navalpostgraduateschoollibrary; fedlink; americana
Accession number
applicationofneu00geng
Notes No copyright page found.
Authority file  OCLC: 1039948689
Source
Internet Archive identifier: applicationofneu00geng
https://archive.org/download/applicationofneu00geng/applicationofneu00geng.pdf

Licensing[edit]

Public domain
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code. Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights.

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Date/TimeThumbnailDimensionsUserComment
current04:02, 5 July 2020Thumbnail for version as of 04:02, 5 July 2020650 × 839, 136 pages (5.21 MB)Fæ (talk | contribs)FEDLINK - United States Federal Collection applicationofneu00geng (User talk:Fæ/IA books#Fork8) (batch 1987-1989 #2261)

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