Title :
The end point forecast of carbon value based on wavelet neural network
Author :
Wang, Dongmei ; You, Wen
Author_Institution :
Inst. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
Carbon value online measurement is one of the most important tasks of the AOD furnace ferroalloy production process. Being the smelting process is complex in this paper promote the wavelet neural network algorithm in order to predict the endpoint of carbon value and using online data to training the wavelet neural network. The simulation results showed that the prediction relative error between the prediction and the practical value is within ± 5% and the convergence rate of the learning algorithm is fast.
Keywords :
carbon; iron alloys; learning (artificial intelligence); metallurgical industries; neural nets; smelting; wavelet transforms; AOD furnace ferroalloy production process; carbon value online measurement; end point forecast; learning algorithm; prediction relative error; smelting process; wavelet neural network algorithm; Artificial neural networks; Helium; Wavelet analysis; Carbon Value; Forecast Model; Furnace Gas Analysis; Neural Network; Wavelet;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610163
