Open AccessNeural Forecasting System of Regional Cooperative Systems Innovative Activity Results
Author(s) -
Е. А. Кириллова,
Alexey Lazarev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2096/1/012134
Subject(s) - computer science , fuzzy logic , autoregressive model , software , sustainability , feature (linguistics) , artificial neural network , decision support system , industrial engineering , data mining , artificial intelligence , operations research , engineering , operating system , econometrics , ecology , linguistics , philosophy , economics , biology
The analysis of changes in the external and internal environment of organisations, requirements for ensuring long-term sustainability and competitiveness in modern conditions suggests the need to develop instrumental support for decision-making support processes in the implementation of innovative projects of cooperative formations. Significant expenditures of financial and time resources allow to determine the priority problem – the insufficient development of systems for reducing uncertainty in interaction with the processes of scientific and industrial cooperation, which determine the disproportions of the resulting economic indicators of the functioning of innovative activity in the region. The proposed solution is an implemented multiplatform software for neuro-cluster analysis of multiformat data, which is based on fuzzy data prediction algorithms based on a nonlinear autoregressive exogenous model. An important feature of the implemented software is an algorithm for optimising the processing of predicted data, based on distributed processing of big data using Microsoft Server operating system.