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.
|Number of pages||7|
|Journal||Optoelectronics, Instrumentation and Data Processing|
|Publication status||Published - 1 Sep 2018|
- computer training
- convolutional neural network
- image classification