Хранение и обработка экспериментальных данных. Математическое моделирование : сборник научных трудов / Рос. акад. наук, Кол. науч. центр, Поляр. геофиз. ин-т. – Апатиты : [б. и.], 1992.

Organization of biological» hydrological and meteoro logical databases. Kolpachnikov A.II. - In: Storing and processing of experimental data, m a t h e m a t i c a l M o delling. Apatity, 1992, p . 59-73. The methods of database organization f or biological, hydrological and meteorological information using a PC are described. The structure of input data and ways of- proces sing a n d analysis of information are shown. The paper may be of interest for hydrobiologists, specialists on database formation a n d information processing, as well as f o r fishing industry experts. Pig. - 8, Tab. - 1, Ref. — 6. L i nguistic approach and expert systems. Dranitsa Yu.f. - In.: Stirisg and processing of experimental data, m athematical modelling. Apatity, 1992» p.73-81. A linguistic approach for description and interpreta tion of hydrometeorological fields data is w orked out. The structure of descriptive language, its vocabulary and graiaaar, a n d some model descriptions individual parts of atmospheric process are considered. The language grammar is proposed, w h i c h m a y be used to study objects dynamic cha racteristic. It is shown that the linguistic approach to the description of data can be the most natural fo r m know ledge storing in expert systems. Ref. - 12. K e t h o d of oceanographic data automized analyses based o n a multistep heuristic algorithm. Feopentov S.A. - In: Storing and processing of experimental data, mathematical modelling. Apatity, 1992, p.82-89. A modification of the multistep heuristic algorithm f o r analyses of deep-water oceanographic measurements based o n f requency distribution of the attributive is proposed. An experiment is carried out to verify the algorithm. .As input data for the experiment the long-term information on temperature end salinity obtained along an oceanographic 124