LSTM networks for anaerobic digester control

Кузнецов, В. Н.; Єсілевський, В. С.; Дядюн, С. В.

Публікація:
LSTM networks for anaerobic digester control

dc.contributor.author	Кузнецов, В. Н.
dc.contributor.author	Єсілевський, В. С.
dc.contributor.author	Дядюн, С. В.
dc.date.accessioned	2020-06-02T13:45:03Z
dc.date.available	2020-06-02T13:45:03Z
dc.date.issued	2019
dc.description.abstract	To study the possibility of use of artificial intelligence systems based on neural networks for the improvement of the efficiency of the biogas production in the anaerobic digester by optimization of the nonlinear control system. The proposed method for constructing a control system for the anaerobic digesters will lead to an increase in the efficiency of biogas production as an alternative renewable energy source. Expansion of the scope of use of anaerobic digesters will also have a significant impact on solving the problem of utilization of industrial and household human waste.	uk_UA
dc.identifier.citation	Yesilevskyi V. LSTM networks for anaerobic digester control / V. Yesilevskyi, S. Dyadun, V. Kuznetsov // Науковий вісник Національного гірничого університету. – №5(173). – 2019. – p.130-137.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/11941
dc.language.iso	en	uk_UA
dc.publisher	Науковий вісник Національного гірничого університету	uk_UA
dc.subject	process control	uk_UA
dc.subject	anaerobic digester control	uk_UA
dc.subject	reinforcement learning	uk_UA
dc.subject	neural networks	uk_UA
dc.subject	LSTM networks	uk_UA
dc.subject	adaptive critic systems	uk_UA
dc.title	LSTM networks for anaerobic digester control	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication