Title :
An adaptive fuzzy combinatorial neural network model for predicting the composition of Pb-Zn agglomerate
Author :
Yalin, Wang ; Weihua, Gui ; Xiaofang, Chen ; Chunhua, Yang
Author_Institution :
Central South Univ. of Technol., Changsha, China
Abstract :
Considering the characteristics of neural network modeling and empirical mechanism modeling, an adaptive fuzzy combinatorial model structure is proposed to effectively combine the two modeling methods together by use of the fuzzy classification. In the paper, the adaptive fuzzy combinatorial modeling is applied to the prediction of Pb-Zn agglomerate composition. Simulation results show that the proposed modeling is effective in the prediction of composition and meets the requirement of optimization computation for the blending process
Keywords :
blending; fuzzy neural nets; metallurgical industries; optimisation; pattern classification; process control; sintering; Pb-Zn agglomerate; adaptive fuzzy combinatorial model; blending process; fuzzy classification; fuzzy combinatorial neural network; optimization; sintering process; Computational modeling; Fuzzy neural networks; Neural networks; Predictive models;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862988
