Approximation of Inverse Models for Temperature-Concentration Dependences of the Transmission Function of a Single-Component Homogeneous Gas Medium by Artificial Neural Networks

Kashirskii, D. E.; Voitsekhovskaya, O. K.

doi:10.1007/s11182-019-01638-7

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2020

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Determining temperature and partial pressures of the components of a high-temperature gas mixture using artificial neural networks

Kashirskii

2020

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The article deals with solving the inverse problem of gaseous media optics by determining the parameters of high-temperature gaseous media from its transmittances using the artificial neural networks. The study of the dependence of the maximum relative error in determining the desired parameters on the size of the training set and the artificial neural network configuration is carried out. The possibility of solving the inverse problem in the case of a four-component gas mixture (water vapor, carbon dioxide, carbon oxide and nitrogen oxide) is shown.

show abstract

Determining temperature and partial pressures of the components of a high-temperature gas mixture using artificial neural networks

Kashirskii

2020

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

Application of Artificial Neural Networks for Determining the Temperature and Partial Pressures of the Components of High-Temperature Gaseous Media

Kashirskii

2020

2020 7th International Congress on Energy Fluxes and Radiation Effects (EFRE)

View full text Add to dashboard Cite

Approximation of Inverse Models for Temperature-Concentration Dependences of the Transmission Function of a Single-Component Homogeneous Gas Medium by Artificial Neural Networks

Cited by 2 publications

References 5 publications

Determining temperature and partial pressures of the components of a high-temperature gas mixture using artificial neural networks

Determining temperature and partial pressures of the components of a high-temperature gas mixture using artificial neural networks

Application of Artificial Neural Networks for Determining the Temperature and Partial Pressures of the Components of High-Temperature Gaseous Media

Contact Info

Product

Resources

About