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

She p r oblem of the mathematical model building using aa a baae observational and experimental data is considered. The problems and methods of the choioe model structure are analyzed. Am on g them the Group M ethod of Data Handling, Stepwise regression procedure a nd Evolutionary identifica tion method are considered. The n o tion of a model structure trajectory is introduced. The criteria f o r inclusion, or refusal of variables in the model as well algorithm is stopping rules and regression quality assessment are consi dered. ?ig. - 1, Tab. - 3, ilef. - 22. Ridge regression and model structure choice. Kachala V.V. - In: Storing a nd processing of experimental data. Mathematical modelling. Apatity, 1992, p . 47-51. A ne w approach for mathematical mod e l building appro ximating experimental data is auggested, in w h i c h the choice of the optimum mo d el structure a nd its coefficients calculation is carried out simultaneously. Ridge regression procedure is taken as example. Fig. - 1, Ref. - 22. Oydrobiological Data Base PLAHKTQN. Pivovarova Ы.В. - In: Storing and processing of experimental data. Ma th e matical modelling. Apatity, 1992, p.52-29. ?he relation Data Ba se w i t h a code name Plank t o n is described, wh i ch uses dBase III PLUS for ~ПШ compatible ?Сз and ііЗ-DOS operation system. The P l a n kt o n Data Bas e is designed for the storage of initial experimental data on phytoplankton a nd zooplankton, as well as of hydrophysical parameters obtained during marine research. The ba s e struc ture, some characteristics of data processing (and a n exam ple of real hydrobiological experimental data handling) are described. The p r o g r a m’s source code includes 9 mo d ules and requires 61K of memory. The executable modul e ' s l ength is 230K. Pig. - 2, Tab. - 4, Ref. - 3. 123