Risk analysis of the innovative projects based on neural networks
Автор: Radushkevich Marina A.
Журнал: Вестник факультета управления СПбГЭУ @vfu-spgeu
Рубрика: Менеджмент и инновации: вопросы теории и практики
Статья в выпуске: 1-2, 2017 года.
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Risk analysis is one of the most important process that affect the decision on the implementation of the innovation project. Innovative project unlike investment project is accompanied by a high level of risk at all stages of its life cycle, that''s why it''s implementation requires increased attention to the risk analysis. Timely risk analysis of the innovative project allows to identify risks and to take measures to prevent and minimize risks. A thorough risk analysis can bring profit and successful implementation of innovation to the investors and project managers. Innovative project can''t be successfully implemented without modern methods of risk analysis. One of the perspective method is the analysis based on neural network risk. The possibility of using neural networks to analyze and assess the risks of innovation projects is not represented in the domestic and foreign literature. This fact indicates the possible prospects of research in this direction.
Risk, innovative project, analysis, evaluation, model, neural network
Короткий адрес: https://sciup.org/148319432
IDR: 148319432