Selection of the optimal type of thermal insulation structure based on the neural network modelling

Autor:	Konstantin Lapin, I.G. Akhmetova, O. S. Kharitonova, V. V. Bronskaya, D. S. Balzamov, Elena Balzamova
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	lcsh:GE1-350 Artificial neural network Basis (linear algebra) Computer science business.industry Reliability (computer networking) Reliability engineering Cogeneration Thermal insulation User interface business Selection (genetic algorithm) Energy (signal processing) lcsh:Environmental sciences
Zdroj:	E3S Web of Conferences, Vol 216, p 01037 (2020)
ISSN:	2267-1242
Popis:	A software package with the user interface for calculating, analyzing and predicting the parameters of cogeneration-based district heating based on the neural network modelling is presented in order to optimize and ensure the reliability of heat networks. The package is the basis for a web-application that allows to calculate the characteristics of the heat network in accordance with the model, keep a query log and provide the possibility of administration.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c363aea2c0407a0f6c6a1a570d03248d https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/76/e3sconf_rses2020_01037.pdf Zobrazit plný text záznamu