Title :
Backpropagation neural network in determination of parameter d50 c of Hydrocyclones
Author :
Eren, Halit ; Fung, Chun Che ; Wong, Kok Wai
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Bentley, WA, Australia
Abstract :
The d50c, an important parameter of Hydrocyclones can accurately be determined by using backpropagation neural network (BPNN). The BPNN yields in high predictions with good correlated data. The results may be used in generating useful signals for the automatic control of Hydrocyclones
Keywords :
backpropagation; mineral processing industry; mining; neurocontrollers; pattern classification; process control; real-time systems; Hydrocyclones; automatic control; backpropagation neural network; mineral process industry; pattern classification; real time system; slurry; Artificial neural networks; Automatic control; Automatic generation control; Circuit testing; Control systems; Cyclones; Intelligent networks; Neural networks; Signal generators; Slurries;
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
DOI :
10.1109/TENCON.1996.608773
