Neural processing system for optical informational measuring systems

Yuri N. Kulchin; Oleg T. Kamenev; Igor V. Denisov

doi:10.1117/12.417875

23 February 2001 Neural processing system for optical informational measuring systems

Yuri N. Kulchin, Oleg T. Kamenev, Igor V. Denisov

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.

Citation Download Citation

Yuri N. Kulchin, Oleg T. Kamenev, and Igor V. Denisov "Neural processing system for optical informational measuring systems", Proc. SPIE 4357, Distributed Fiber Optical Sensors and Measuring Networks, (23 February 2001); https://doi.org/10.1117/12.417875

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