Based on Cluster Cover Algorithm in Coal Mine Gas Forecast Application

Author

Yueqin, Zhang ; Xiaopeng, Duan

Author_Institution

Comput. & Software Inst., Taiyuan Univ. of Technol., Taiyuan, China

Volume

1

fYear

2010

fDate

11-12 May 2010

Firstpage

854

Lastpage

857

Abstract

Compares with the traditional forward neural network, the cover algorithm has the running rate to be quick, precision high characteristic, but the cover algorithm´s initial domain center is the stochastic selection. The experiment indicated that the network performance and the study order have the close relationship. Proposed one kind of new improvement overlapping cover algorithm in the forward neural network overlapping cover algorithm foundation-based on the cluster overlapping cover algorithm. And utilizes this algorithm in the coal mine gas predict that the experimental result indicated that this algorithm suits compared to the original cover algorithm in the coal mine gas forecast.

Keywords

coal; minerals; mining; mining industry; neural nets; stochastic processes; cluster cover algorithm; coal mine gas forecast application; forward neural network overlapping cover algorithm; stochastic selection; Clustering algorithms; Computer networks; Density measurement; Explosions; Neural networks; Product safety; Production; Software algorithms; Stochastic processes; Tin; cluster analysis; cover algorithm; gas density; time series;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.172

Filename

5522625