File:A comparison of neural network and regression models for Navy retention modeling (IA acomparisonofneu1094539890).pdf
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Summary[edit]
A comparison of neural network and regression models for Navy retention modeling ( ) | ||
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Author |
Russell, Bradley Steven |
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Title |
A comparison of neural network and regression models for Navy retention modeling |
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Publisher |
Monterey, California. Naval Postgraduate School |
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Description |
This thesis evaluates a possible use of artificial neural networks for military manpower and personnel analysis. Two neural network models were constructed to predict the reenlistment behavior of a select group of individuals in the Navy, from a sample of 680 individuals. The data were extracted from the 1985 DoD Survey of Officer and Enlisted Personnel. Explanatory variables were grouped into demographic/personal, military characteristics, perceived probability of civilian employment, educational level, and satisfaction with military life and military benefits. The first neural network model was compared to a more traditional method of statistical modeling (logistic regression analysis) to determine the strengths and weaknesses of the neural network model. Both models used the same set of 17 variables and were tested using a holdout sample of 100 observations. The neural network model was found to be comparable to the logistic regression model as a predictor, but deficient as a policy analysis model. The second neural network model was constructed using the same data set and architecture as the first neural network model, including the original 17 variables, plus an additional II variables that consisted of variables with and without theoretical foundation for predicting reenlistment. The two neural network models were then compared and found to be similar at predicting reenlistment. Both neural network models were considered to be deficient as tools for policy analysts... Subjects: Artificial neural networks; Neural networks; Reenlistment behavior |
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Language | English | |
Publication date |
March 1993 publication_date QS:P577,+1993-03-00T00:00:00Z/10 |
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Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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Accession number |
acomparisonofneu1094539890 |
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Source | ||
Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted. |
Licensing[edit]
Public domainPublic domainfalsefalse |
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This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
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current | 21:45, 13 July 2020 | 1,275 × 1,650, 126 pages (4.25 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection acomparisonofneu1094539890 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #5233) |
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Short title | A comparison of neural network and regression models for Navy retention modeling |
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Author | Russell, Bradley Steven |
File change date and time | 07:52, 28 January 2014 |
Date and time of digitizing | 07:52, 28 January 2014 |
Date metadata was last modified | 07:52, 28 January 2014 |
Software used | Russell, Bradley Steven |
Conversion program | |
Encrypted | no |
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Version of PDF format | 1.4 |