Intelligent Information Technology for Inductive Modeling of Complex Processes on the Basis of Recurrent-and-Parallel Computations

Abstract

The paper develops a novel intelligent information technology for inductive modeling of complex processes by experimental data, the high level of productivity of which is achieved by applying a new concept of combining the efficiency of recurrent and parallel computations. The implementation of such technology in modern intelligent information-and-analytical systems provides a significant increase in the efficiency and validity of making managerial decisions in the tasks of operational management of complex processes. An example is done of using the developed technology for evaluation and forecast of the investment activity in Ukraine.