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

fYear

2010

fDate

26-28 May 2010

Firstpage

2852

Lastpage

2855

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CCDC.2010.5498713

Filename

5498713