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News
May 20, 2026
HSE University Opens First Representative Office of Satellite Laboratory in Brazil
HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.

 

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Применение нейронных сетей для прогнозирования прочности древесно-минерального композита

Системы. Методы. Технологии. 2023. № 1(57). С. 87–94.
Долматов С. Н., Babkina T. S.

Integrated processing of wood raw materials and waste is an important task that the specialists of the forest complex face. It is im- portant to ensure the receipt of products of deep processing, which are in steady demand in successfully functioning industries, for ex- ample, in construction. Therefore, the technology for obtaining wood-mineral composite building materials made from low-quality wood raw materials is quite promising and relevant. The aim of the work is to develop an intelligent system for studying the effect of changing the ratio of individual components of the initial raw mixture on the strength of wood-mineral composite material (sawdust concrete). Such a system can provide predictive information about the expected strength of material to meet the required performance for thermal insulation or structural material. At the same time, it is possible to solve the issues of ensuring high performance and a competitive price of the final product. The methods of artificial feedforward neural networks, as well as networks of neuro-fuzzy infer- ence, are used in the work. As a training sample for these networks, the results of experimental studies conducted by the authors earlier are used. For the practical implementation of neural networks the MATLAB program is used. The forecast accuracy for the obtained neural networks is 67...78%. For the networks of neuro-fuzzy inference the forecast accuracy turned out to be slightly higher than for the feedforward neural network. On the control sample the average deviation was 12.8% for the feedforward neural network and 10.9% for the networks of neuro-fuzzy inference The resulting neural networks can be successfully adapted to work with other wood-mineral composites. The research materials can be used by manufacturers of wood-mineral composites.

Research target: Materials Technologies Computer Science
Language: Russian
Keywords: низкокачественная древесинадревесно-минеральные композитыпрочность материаланейронная сеть прямого распространениянейронная сеть нечеткого ввода
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