Article

Investigation of intelligent technologies for formation forecasting models

Скакаліна, Олена Вікторівна

Actually much attention is paid to the development of new intelligent information technologies for solving forecasting problems in dif-ferent subject areas. The goal of solving the problem of forecasting dynamic indicators is in most cases to increase the effectiveness of making managerial decisions in conditions of uncertainty for complex distributed systems, which include economic entities. The modern global business environment dynamically forms new markets, which in turn require the use of new innovative technologies, without which it is impossible to have a competitive efficient economy in general and successful business groups in particular. In paper the re-search of intellectual information technologies of construction of predictive models on the basis of modified adaptive prediction methods is carried out: a neuro-network group method of data handling and a hybrid genetic algorithm with fuzzy predictive block with the pur-pose of justification of their use for different subject areas. Exactly these technologies are relevant and promising for improving the accuracy of forecasts.

en

2018

genetic algorithm

International Journal of Engineering & Technology

Skakalina E.V. Investigation of intelligent technologies for formation forecasting models / E.V. Skakalina // International Journal of Engineering & Technology. – 2018. – Vol. 7, № 3.2. – P. 413-418.