Title :
Prediction model of pellets quality based on BP neural network optimized by genetic algorithm
Author :
Xu, Jianyou ; Wang, Wang Jianhui ; Yan, Hongwei ; Gu, Shusheng
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
As the technics of Grate-Kiln is complicated, for which it´s difficult to establish accurate model, a black-box prediction model of quality is established in this paper with compression strength, drum index and screening index being the output based on the method of BP Neural Network optimized by Genetic Algorithm. And then the parameters of model are identified by MATLAB using the real data of some pellets factory. And the result of simulating indicates that the model converges quickly and the hit-ratio is increased.
Keywords :
backpropagation; genetic algorithms; kilns; neural nets; production engineering computing; BP neural network; Grate-Kiln technics; MATLAB; black-box prediction model; compression strength; drum index; genetic algorithm; pellets factory; pellets quality; prediction model; screening index; Automation; Genetic algorithms; Information science; Laboratories; MATLAB; Mathematical model; Neural networks; Optimization methods; Predictive models; Production facilities; BP Neural Network; Genetic Algorithm; Pellets; Prediction Of Quality;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498713
