Predicting the earth atmosphere's ozone layer conditions using neuronic networks for various timelags

被引：0

作者：

Kashkin, VB ^{[1
]}

Lankin, JP ^{[1
]}

Sakash, IY ^{[1
]}

Smirnov, SV ^{[1
]}

机构：

[1] Krasnoyarsk State Technol Univ, Krasnoyarsk 660074, Russia

来源：

NINTH JOINT INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS/ATMOSPHERIC PHYSICS, PT II: LASER SENSING AND ATMOSPHERIC PHYSICS | 2003年 / 5027卷

关键词：

ozone; ozone layer; stratosphere; atmosphere; neuroinformatics; ozone prediction; atmospheric models;

D O I：

10.1117/12.497321

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

The work is focused upon a number of issues related to Earth's ozonosphere. The existing atmospheric models' strengths and weaknesses are investigated, as well as the benefits of neuro-network models. For different timescales (annual, monthly, diurnal and hourly), ozone concentration prognostic models are designed using neuronic networks.

引用

页码：207 / 215

页数：9

共 14 条

[1] ALEKSANDROV AL, 1982, ATMOSPHERIC OZONE CH, P167
[2] ALEKSANDROV EL, 1992, OZONIC SHIELD EARTH, P287
[3] BARTSEV SI, 1991, NEUROCOMPUTERS ATTEN, V2, P453
[4] BYTEV VO, 2000, SYMMETRY DIFFERENTIA, P59
[5] GARRATT JR, 1993, J CLIMATE, V6, P1090, DOI 10.1175/1520-0442(1993)006<1090:TSEBAL>2.0.CO
[6] 2
[7] HRGIAN AH, 1981, PROBLEM OBSERVATION, P216
[8] KASHKIN VB, 2001, SPIE INT SOC OPTICAL, V4678, P630
[9] KIMSTACH G, 2001, NATURE MAN LIGHT, V10, P4
[10] LANKIN JP, 2001, ENG ECOLOGY, V2, P2

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