The results of the study of traces of motor gasoline after different intervals after the application of the methods of atomic force microscopy and Raman spectroscopy. Demonstrated the possibility identifying traces of oil using neural networks.
gasoline, atomic force spectroscopy, Raman spectroscopy
1. James G. Speight. Handbook of Petroleum Analysis. 2001.
2. Baza dannyh ekonomicheskoy statistiki o stranah mira, rynkah i kompaniyah. URL: http://www.statinfo.biz/ (data obrascheniya: 05.04.2015).
3. Golovko V.A. Neyronnye seti: obuchenie, organizaciya i primenenie. M., 2001. Kn. 4. 256 s.
4. TU 38.001165-97. Benziny avtomobil'nye eksportnye. URL: http:// www.chemister.ru (data obrascheniya: 12.01.2016).
5. GOST 2084-77. Benziny avtomobil'nye. Tehnicheskie usloviya.
6. Mark Ahmadjian, Chris W. Brown. Petroleum Identification by Laser Raman Spectroscopy // Analytical Chemistry. 1976. Vol. 48. № 8.
7. Mironov V.L. Osnovy skaniruyuschey zondovoy mikroskopii. N. Novgorod, 2004.
8. Adaptivnoe postroenie ierarhicheskih neyrosetevyh klassifikatorov / S.A. Dolenko [i dr.] // Neyrokomp'yutery: razrabotka, primenenie. 2005. № 1-2. S. 4-1.