Translator Disclaimer
23 February 2004 Algorithms of self-adaptation for atmospheric model designing
Author Affiliations +
Proceedings Volume 5397, Tenth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics; (2004) https://doi.org/10.1117/12.548609
Event: Tenth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics, 2003, Tomsk, Russian Federation
Abstract
The paper describes the principal limitations of the traditional methods used to construct atmospheric models. These limitations would not allow any fundamental improvement of atmospheric modeling. Ways are proposed to overcome the current limitations, based on teh methodology of constructing adaptive models and neuroinformatics. Algorithms of self-adaptation for neural networks intended for the construction of atmospheric models are given. Essentially, the developed algorithms are adaptive shells and can be easily transferred to other models.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juliy P. Lankin and Tatyana F. Baskanova "Algorithms of self-adaptation for atmospheric model designing", Proc. SPIE 5397, Tenth Joint International Symposium on Atmospheric and Ocean Optics/Atmospheric Physics. Part II: Laser Sensing and Atmospheric Physics, (23 February 2004); https://doi.org/10.1117/12.548609
PROCEEDINGS
11 PAGES


SHARE
Advertisement
Advertisement
Back to Top