Application of neural networks to fluorescent diagnostics of organic pollution in water

Yuri N. Orlov; I. G. Persiantsev; S. P. Rebrik; Sergey M. Babichenko

doi:10.1117/12.221093

21 September 1995 Application of neural networks to fluorescent diagnostics of organic pollution in water

Yuri N. Orlov, I. G. Persiantsev, S. P. Rebrik, Sergey M. Babichenko

Proceedings Volume 2503, Air Toxics and Water Monitoring; (1995) https://doi.org/10.1117/12.221093
Event: European Symposium on Optics for Environmental and Public Safety, 1995, Munich, Germany

Abstract

Rapid diagnosis of pollution is one of the key tasks in the field of ecological monitoring of natural and technogeneous environment. One of the promising methods of fluorescent diagnosis of organic pollution of water environment is the registration and analysis of 2D spectral fluorescent signatures (SFS). The neural networks-based system suggested in this paper is intended for solving the problem of detection, identification, and concentration measurement of water environmental pollution. The suggested system uses SFS as input pattern and allows one to build a rapid diagnosis system for ecological monitoring.

Citation Download Citation

Yuri N. Orlov, I. G. Persiantsev, S. P. Rebrik, and Sergey M. Babichenko "Application of neural networks to fluorescent diagnostics of organic pollution in water", Proc. SPIE 2503, Air Toxics and Water Monitoring, (21 September 1995); https://doi.org/10.1117/12.221093

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