No abstract

ПОИСК ОПТИМАЛЬНЫХ ТЕХНОЛОГИЧЕСКИХ ПРОЦЕССОВ С ИСПОЛЬЗОВАНИЕМ АЛГОРИТМОВ ЭВРИСТИЧЕСКОГО ПОИСКАРассматривается метод поиска оптимального технологического процесса обработки детали в пространстве состояний заготовки, основанный на эвристическом алгоритме поиска.Ключевые слова: схемы базирования, метод аналитической иерархии, автоматизированный вы-бор, технологический процесс, эвристический по-иск.

The application without knowledge of an ontological type allows updating considerably quality of problem solutions in natural language processing. A number of researchers use Wikipedia as a basis for the formation of such resources. This paper reports the formalization method of Wikipedia structures and linguistic ontology used in the developed by the authors system of the linguistic ontology formation a specified subject field from Wikipedia. The papers and references connecting them serve a purpose for formation of a weighted graph of ontology to the graph nodes correspond notions, and to the ribs of graph – fuzzy semantic relations between them. The references obtain different weights depending on entering this or that information unit on a page. By a graph of relations it is possible to estimate numerically the degree of semantic proximity of two arbitrary concepts. For this purpose it is possible to use different measures of semantic proximity. Recursive measures possess considerable computational complexity at insignificant improvement of quality in test problem solution in comparison with nonrecursive local measures of the Dice measure type that is unacceptable for the ontology large enough. From these considerations the Dice weighted measure is chosen as a basic one for the system under development.

In the article the mechanisms of complex analysis of data obtained on the basis of information about the condition of the water level in the major tributaries of river basins for timely warning of large-scale floods and prevent their consequences.

The article briefly describes the methodology and suggests the method for recognizing any elliptic forms objects on the images. This method is universal and can be applied in any intelligent recognition systems, for example, recognition system of the road signs from video camera images. The proposed method has proven itself in solving various practical problems, such as searching for signs in photographs, detecting circles on charts and diagrams, searching for the boundaries of ovals of faces, etc. The main advantage of the method is its extreme ease of implementation and high speed, which makes it possible to use not only on modern stationary computers, but also on mobile devices with low computing power.