Based on a dynamically configurable neural net that learns in a single pass of the training data, this paper describes a system used by the military in the identification of explosive ordnance. Allowing the technician to input incomplete, contradictory, and wrong information, this system combines expert systems and neural nets to provide a state-of-the-art search, retrieval, and image and text management system.
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Los Alamos National Lab., NM (United States)
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New Mexico
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Based on a dynamically configurable neural net that learns in a single pass of the training data, this paper describes a system used by the military in the identification of explosive ordnance. Allowing the technician to input incomplete, contradictory, and wrong information, this system combines expert systems and neural nets to provide a state-of-the-art search, retrieval, and image and text management system.
Innovative applications of artificial intelligence; International joint conference on neural networks, San Jose, CA (United States); Baltimore, MD (United States), 13-15 Jul 1992; 7-11 Jun 1992
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Madrid, R.; Williams, B. & Holland, J.Artificial Intelligence for Explosive Ordnance Disposal System (AI-EOD),
article,
January 1, 1992;
New Mexico.
(https://digital.library.unt.edu/ark:/67531/metadc1085874/:
accessed January 13, 2025),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
