Abstract: Proposed and reasonably mathematical model of creation new centers of formation of granules in the production of organic-mineral composites. The dependence of spent on shredding-ment of energy depending on the size.
Key words: humates, mineral and organic fertilizer, shredding.
Economics and Management in the XXI century: analysis of trends and prospects: Abstracts of IV International scientific-practical conference (Kyiv - St.-Petersburg - Vienna, July 29, 2016)
Summary: Alternative approaches to qualitative analysis in technological prediction and subsequent cognitive modeling of research object were suggested in the article; cognitive map structural stabilization procedure was improved by applying fuzzy set theory.
Key words: technological prediction, cognitive modeling, cognitive map, structural stability.
Abstract: The paper is devoted to the problem of forecasting financial expenses for insurance claims. We consider the forecasting methods and models. The algorithm prediction based on autoregressive time series. The paper considered by the autoregression model, autoregression model with moving average and autoregression model with trend. In consequence of research, information-analytic system for forecasting financial processes was built.
Keywords: time series, autoregression, trend, forecast, modelling, financial process, moving average.
Abstract. This paper investigated the effectiveness of the classical methods of artificial intelligence to solve system problems of classification and identification of danger situations.
Keywords: systems analysis, artificial intelligence, danger situation.
Summary: some of methods of part-of-speech tagging were investigated and compared.
Key words: part-of-speech tagging, Viterbi algorithm, Hidden Markov model, Maximum-entropy Markov model.
Annotation: This article is devoted to developing software model algorithm of implementation schedule of training sessions.
Key words: formation of schedule, programming model, architecture of the application.
Abstract: The means of identification GUI spent their comparative analysis, and determined the best way, in the above context, to implement the appropriate software.
Keywords: computer vision, graphical user interface, GUI recognition, test automation, analiser development.
Summary: regression analysis methods were surveyed, DSS architecture was developed and implemented as a software product for analysis, model structure inference, modeling and forecasting of non-stationary econometric parameters.
Key words: regression analysis, model structure, correlation analysis, non-stationary processes, econometric parameters.
Summary: Some of the most commonly used, existing at the moment, today's data mining methods were reviewed and analyzed. Also the relevance of using them in forecasting the results of sports events was considered.
Key words: forecasting, data mining, deep neural networks.
Summary: Deep neural network of direct distribution was analyzed, as well as the effectiveness and appropriateness of its use for predicting results of sport events.
Key words: forecasting, data mining, deep neural networks.
Summary: discrete and continuous mathematical models of global world conflicts were constructed and exact solution of the last one was found.
Key words: system analysis, differential equations, global conflicts.
Summary: depending on the collected statistical data of Slavutych city the indicator model has been constructed and calculated relevant indicators, made the analysis of the results.
Key words: system analysis, sustainable development, city’s development.
Abstract: This paper concerns methods of control transport traffic at crossroads modeling for regulation process optimization by Dijkstra’s algorithm and Ford–Fulkerson.
Keywords: transport network, optimal root, maximum flow, algorithms on graph.
Summary: The system was developed for the analysis of parameters of the university scientists using their parameters in Google Scholar.
Keywords: Google Scholar, analysis, parsing.
Annotation: This article is devoted to developing an algorithm to form the schedule of training sessions with the use of subjective preferences.
Summary: Were compared TypeScript and JavaScript programming languages, were shown, that TypeScript usage simplifies web-application development and testing.
Keywords: JavaScript, TypeScript, web-application, programming.
Annotation: This article is devoted to analysis of hashing algorithms and develop optimal algorithm for comparing files using a hash algorithm.
Key words: hash algorithm, cryptography function.
Анотація. У роботі проведено порівняльний аналіз деяких моделей авторегресії на прикладі нестаціонарних процесів у фінансово-економічній сфері.
Ключові слова: авторегресія, різницеві рівняння, процес з трендом, гетероскедастичний процес.
