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Analysis on Influencing Parameters of Heating Consumption Prediction [PDF]
E3S Web of Conferences, 2021 This paper studies the influencing parameters of the heating consumption prediction in heating substation, uses the BP neural network to predict the heating consumption, and establishes four BP neural network structures to change the outdoor average ...
Tian Ye, Li Rui
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Research on the Prediction of Pipelines Corrosion Rate Based on GA-LSSVM [PDF]
Cailiao Baohu, 2021 Corrosion rate is an important characteristic parameter to reflect the corrosion dynamics process of pipeline.In order to accurately evaluate the long-term operation reliability and remaining life of pipeline, the prediction of corrosion rate is ...
CHEN Yong-hong, SU Yong-sheng, HU Ping
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Prediction of Betavoltaic Battery Parameters
Energies, 2023 The approaches for predicting output parameters of betavoltaic batteries are reviewed. The need to develop a strategy for predicting these parameters with sufficient accuracy for the optimization of betavoltaic cell design without using the simple trial ...
Eugene B. Yakimov
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Developing a Methodology for Building the Knowledge Base and Application Procedures Supporting the Process of Material and Technological Conversion [PDF]
Archives of Metallurgy and Materials, 2022 The article presents the developed IT solutions supporting the material and technological conversion process in terms of the possibility of using the casting technology of selected alloys to produce products previously manufactured with the use of other ...
D. Wilk-Kołodziejczyk +7 more
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Energy Reports, 2022 The safe and stable operation of power transmission and transformation equipment is the foundation of power grid safety, so the prediction of power transmission and transformation equipment fault is particularly important, and the prediction of the ...
Jiafeng Qin +4 more
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An automated boron management system for WWER-1000 nuclear reactors
Trudy Odesskogo Politehničeskogo Universiteta, 2015 The article is devoted to the problem of creating a system of automated control with boron regulation for reactor WWER-1000 series. Using the boron regulation to control WWER-1000 allows to extend its maximum output operation period, ensuring the ...
Taisiya O. Tsiselskaya, Andriy V. Kovtun
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NEURAL NETWORKS IN TRANSPORTATION RESEARCH – RECENT APPLICATIONS [PDF]
Transport Problems, 2016 Neural networks’ (NNs) capability of mapping the nonlinear functions of variables describing the behaviour of objects and the simplicity of designing their configuration favours their applications in transport. This paper presents representative examples
Teresa PAMUŁA
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Global patterns of allometric model parameters prediction
Scientific Reports, 2023 Variations in biomass-carbon of forest can substantially impact the prediction of global carbon dynamics. The allometric models currently used to estimate forest biomass face limitations, as model parameters can only be used for the specific species of ...
Zixuan Wang +4 more
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An automated boron management system for WWER-1000 nuclear reactors
Trudy Odesskogo Politehničeskogo Universiteta, 2014 The article is devoted to the problem of creating a system of automated control with boron regulation for reactor WWER-1000 series. Using the boron regulation to control WWER-1000 allows to extend its maximum output operation period, ensuring the ...
Таїсія Олександрівна Цисельська +1 more
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Predicting Parameters in Deep Learning
CoRR, 2013 We demonstrate that there is significant redundancy in the parameterization of several deep learning models. Given only a few weight values for each feature it is possible to accurately predict the remaining values. Moreover, we show that not only can the parameter values be predicted, but many of them need not be learned at all.
Denil, M +4 more
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