Title :
Sinter Strength Prediction Based on Artificial Neural Network Technology
Author :
Xu Wei-ping ; Wu Quan ; Xiao Chun
Author_Institution :
Sch. of Mech. & Electr. Eng., Gui Zhou Normal Univ., Guiyang, China
Abstract :
Aim at the actual complicacy and difficulty of controlling strength content in sinter, a 3-layer artificial neural network model with multi input factors has been set up in this work that provide a new method for strength content control in production field. The network has reasonable construction, high accuracy and strong generalization ability. The predicted results coincide with the experimental values that shows the ANN model is an effective way to analyze sinter strength.
Keywords :
neural nets; predictive control; production control; sintering; artificial neural network; production field; sinter strength prediction; strength content control; Artificial neural networks; Building materials; Civil engineering; Couplings; Error correction; Multi-layer neural network; Neurons; Predictive models; Process control; Production systems;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5363982
