23 February 2001 Neural processing system for optical informational measuring systems
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Proceedings Volume 4357, Distributed Fiber Optical Sensors and Measuring Networks; (2001) https://doi.org/10.1117/12.417875
Event: Distributed Fiber Optical Sensors and Measuring Networks, 2000, none, Russian Federation
Abstract
Main advantages of neural networks are the flexibility of architecture and ability to training. These advantages allow using neural networks for solving many difficult problems. One of them is the processing of data collected by fiber- optical measuring systems. We offered universal neural-like system for optical data processing in optical measuring system.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuri N. Kulchin, Yuri N. Kulchin, Oleg T. Kamenev, Oleg T. Kamenev, Igor V. Denisov, Igor V. Denisov, } "Neural processing system for optical informational measuring systems", Proc. SPIE 4357, Distributed Fiber Optical Sensors and Measuring Networks, (23 February 2001); doi: 10.1117/12.417875; https://doi.org/10.1117/12.417875
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