Authors
SS Abdurakipov, OA Gobyzov, MP Tokarev, VM Dulin
Publication date
2018/9
Journal
Optoelectronics, Instrumentation and Data Processing
Volume
54
Pages
513-519
Publisher
Pleiades Publishing
Description
A method for automatic determination of combustion regimes using flame images on the basis of a convolutional neural network on labeled data is under consideration. It is shown that the accuracy of regime classification reaches 98% on the flame images of a gas burner. The results of the operation of the convolutional neural network and classification using different linear models are compared.
Scholar articles
SS Abdurakipov, OA Gobyzov, MP Tokarev, VM Dulin - Optoelectronics, Instrumentation and Data Processing, 2018