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ERIC Number: ED554935
Record Type: Non-Journal
Publication Date: 2013
Pages: 152
Abstractor: As Provided
Reference Count: N/A
ISBN: 978-1-3031-4382-3
ISSN: N/A
Predicting the Emplacement of Improvised Explosive Devices: An Innovative Solution
Lerner, Warren D.
ProQuest LLC, Sc.D. Dissertation, Capitol College
In this quantitative correlational study, simulated data were employed to examine artificial-intelligence techniques or, more specifically, artificial neural networks, as they relate to the location prediction of improvised explosive devices (IEDs). An ANN model was developed to predict IED placement, based upon terrain features and objects related to historical IED detonation events, the associated visual and radio-frequency lines of sight of these features and objects, and the volume of target-vehicle traffic during a 24-hour period. The architecture of the model contains a multilayer perceptron network to realize advanced performance. The findings indicate that the model is suitable for IED placement prediction. This research also established that opportunities exist for the development of sophisticated techniques, grounded in AI, that can predict the location of emplaced IEDs. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A