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1 August 1990 Applications of neural nets to munition systems
Kwang-Shik Min, Hisook L. Min
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Proceedings Volume 1294, Applications of Artificial Neural Networks; (1990) https://doi.org/10.1117/12.21198
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States
Abstract
We formulated special Kohonen type associative memories and studied their utilization as the fast discriminator/classifier in munition systems. These nets are pretrainable and the response time for classification is minimal. The time required for adaptation is short. The applications investigated include [1] a targetaerosol discrimination problem and [2] change detection leading to an image based decision making in a realistic system. Appropriate pre-processing of the data are required for these methods to be effective. The outline of the algorithm for each application is described and the results obtained using generic data are illustrated. This work was supported by AFOSR under RIP and URRP programs. * On leave from East Texas State University Commerce Texas. ** On leave from Jarvis Christian College Hawkins Texas. 466 / SPIE Vol. 1294 Applications of Artificial Neural Networks (1990)
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Kwang-Shik Min and Hisook L. Min "Applications of neural nets to munition systems", Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); https://doi.org/10.1117/12.21198
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KEYWORDS
Artificial neural networks
Neural networks
Aerosols
Detection and tracking algorithms
Image segmentation
Content addressable memory
Image analysis
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