http://dspace.nbuv.gov.ua:80/handle/123456789/17396 Wed, 08 Apr 2026 14:47:43 GMT 2026-04-08T14:47:43Z http://dspace.nbuv.gov.ua:80/bitstream/id/397042/ http://dspace.nbuv.gov.ua:80/handle/123456789/17396 http://dspace.nbuv.gov.ua:80/handle/123456789/17424 Автори випуску 2 за 2010 р. Fri, 01 Jan 2010 00:00:00 GMT http://dspace.nbuv.gov.ua:80/handle/123456789/17424 2010-01-01T00:00:00Z http://dspace.nbuv.gov.ua:80/handle/123456789/17423 Аналіз структур вхідних даних в задачах індуктивного моделювання Щербакова, Н.В. One of the most important steps towards developing an integrated environment of storing and handling information in the tasks of inductive modeling is the design of the integration of external data in the repository. The article discusses key issues arising at this stage, including the structure of input data analyzed by various parameters. Fri, 01 Jan 2010 00:00:00 GMT http://dspace.nbuv.gov.ua:80/handle/123456789/17423 2010-01-01T00:00:00Z http://dspace.nbuv.gov.ua:80/handle/123456789/17422 Структурне моделювання стійке до викидів у вхідних та залежних змінних Шапошник, В.; Вілла, А.Е.П.; Аксенова, Т. This paper describes advances in the algorithm development designed to solve a task of optimal polynomial model selection on multivariate data sets in presence of outliers in both explanatory and response variables. On one side novel algorithm, as its ancestor, is based on GMDH-type PNN, which gives him an universal model structure identification abilities thanks to the evolving adaptively synthesized bounded network. And on the other side the algorithm is enhanced with GM-estimator used for parameter search which allows him achieve robustness to outliers in both explanatory and response variables. Enhanced RPNN demonstrated robustness to outliers in both explanatory and response variables and good accuracy of the automatic structure syntheses. Fri, 01 Jan 2010 00:00:00 GMT http://dspace.nbuv.gov.ua:80/handle/123456789/17422 2010-01-01T00:00:00Z http://dspace.nbuv.gov.ua:80/handle/123456789/17421 Аналітичний огляд задач та методів побудови моделей складних систем Тимченко, А.А.; Бойко, В.В.; Скоробрещук, В.В. In the article the analysis of the systems of the methods of identification tasks solution is made. A number of experiments based on model structural optimization are carried out. In the process of the analysis of obtained models the method of optimal complexity is found. The examined system flow diagram can be successfully for intricate analytical problems solution. Fri, 01 Jan 2010 00:00:00 GMT http://dspace.nbuv.gov.ua:80/handle/123456789/17421 2010-01-01T00:00:00Z