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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Identifying Enlisted Stay And Leave Population Characteristics With Discriminant Analysis, Zabrina Y. Hoggard
Identifying Enlisted Stay And Leave Population Characteristics With Discriminant Analysis, Zabrina Y. Hoggard
Theses and Dissertations
The research contribution of this thesis is the first known integrated architecture and feature selection algorithm for Radial Basis Neural Networks (RBNNs). The objective is to apply the network iteratively to determine the final architecture and feature set used to evaluate a problem. Additionally, this thesis compares three different classification techniques, Discriminant Analysis (DA), Feed-Forward Neural Networks (FFN) and RBNNs against several hard to solve problems. These problems were used to evaluate general classifier performance as well as the performance of the feature selection techniques. This thesis describes the classification techniques as well as the measures used to evaluate them. …
An Integrated Architecture And Feature Selection Algorithm For Radial Basis Neural Networks, Timothy D. Flietstra
An Integrated Architecture And Feature Selection Algorithm For Radial Basis Neural Networks, Timothy D. Flietstra
Theses and Dissertations
There are two basic ways to control an Unmanned Combat Aerial Vehicle (UCAV) as it searches for targets: allow the UCAV to act autonomously or employ man-in-the-loop control. There are also two target sets of interest: fixed or mobile targets. This research focuses on UCAV-based targeting of mobile targets using man-in-the-loop control. In particular, the interest is in how levels of satellite signal latency or signal degradation affect the ability to accurately track, target, and attack mobile targets. This research establishes a weapon effectiveness model assessing targeting inaccuracies as a function of signal latency and/or signal degradation. The research involved …
Selecting Salient Features In High Feature To Exemplar Ratio Conditions, Ismail Aslan
Selecting Salient Features In High Feature To Exemplar Ratio Conditions, Ismail Aslan
Theses and Dissertations
A key tenet to the Air Force's vision of Global Vigilance, Reach, and Power is the ability to project power via the use of aerial refueling. Scheduling of limited tanker resources is a major concern for Air Mobility Command (AMC). Currently the Combined Mating and Ranging Planning System (CMARPS) is used to plan aerial refueling operations, however due to the complex nature of the program and the length of time needed to run a scenario, the need for a simple tool that runs in much shorter time is desired. Ant colony algorithms are recently developed heuristics for finding solutions to …
Identifying Demand Indicators For Air Force Recruiting Service With Discriminant Analysis, Jason L. Williams
Identifying Demand Indicators For Air Force Recruiting Service With Discriminant Analysis, Jason L. Williams
Theses and Dissertations
A changing public disposition towards military service has all four military branches rethinking recruiting practices. This Air Force is reacting to this new recruiting climate by increasing the bonuses for new recruits, pumping up advertising budgets, and bolstering recruiting personnel levels. This thesis provides a new tool for assessing how to allocate these new resources. Discriminant Analysis is used to identify population characteristics that categorize recruiting locations. A methodology is constructed that can discriminate between communities where interest is high in military service and where recruiting efforts will not be productive.
Selection Of Psychophysiological Features Across Subjects For Classifying Workload Using Artificial Neural Networks, Trevor I. Laine
Selection Of Psychophysiological Features Across Subjects For Classifying Workload Using Artificial Neural Networks, Trevor I. Laine
Theses and Dissertations
The issue of pilot workload is important to the United States Air Force because pilot overload or task saturation leads to decreases in mission effectiveness. Additionally, in the most extreme cases, pilot overload may lead to the loss of aircraft and crewmember lives. Current research efforts are utilizing psychophysiological data including electroencephalography (EEG), cardiac, eye-blink, and respiration measures in an attempt to identify workload levels. The primary focus of this effort is to determine if a single parsimonious set of psychophysiological features exists for accurately classifying workload levels between multiple test subjects. To accomplish this objective, the signal-to-noise (SNR) saliency …
A Monte Carlo Approach To Ridge Discriminant Analysis, Lee Wooldridge
A Monte Carlo Approach To Ridge Discriminant Analysis, Lee Wooldridge
Retrospective Theses and Dissertations
A combined analytical and empirical method to define human performance measures is required for effective automated training. In theory, performance measures can be weighted and combined in a single first order equation upon which an automated training system can track a student's comparative skill level. A form of multivariate discriminant analysis was the statistical technique incorporated into the measurement selection and weighting scheme. (Vreuls and Wooldridge 1977). As with regression analysis, this discriminant technique was subject to debilitating problems such as overfit and undesirable inaccuracies in the coefficients. The author developed and implemented an adjustment to the discriminant function analogous …