Multi-feature Fusion Flame Detection Algorithm Based on BP Neural Network

Author:

Wu Jin,Yang Ling,Gao Yaqiong,Zhang Zhaoqi

Publisher

Springer International Publishing

Reference15 articles.

1. Wang, W., Peng, C., Mi, H., et al.: Furnace flame recognition based on improved particle swarm optimization algorithm. Proceedings of the Institution of Mechanical Engineers, Part I: J. Syst. Cont. Eng. 234(8), 888–899 (2020)

2. Nefedev, A.I., Konovalenko, A.A.: Flame ionization detector for boiler control system. In: 2020 International Conference on Industrial Engineering. Applications and Manufacturing (ICIEAM), pp. 1–6 (2020)

3. Cui, F., Ji, S., Xu, Q.: Design of flame end points detection system for refuse incineration based on ARM and DSP, pp. 1243–1253. Wireless Communications, Networking and Applications (2016)

4. Qiu, X., Xi, T., Sun, D., et al.: Fire detection algorithm combined with image processing and flame emission spectroscopy. Fire Technol. 54(5), 1249–1263 (2018)

5. Fan, R.S., Wang, Y., Wei, D.X., et al.: Research on visual monitoring method of boiler furnace flame based on BP Neural Network. Comp. Appl. Soft. 8(2), 101–104 (2015)

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