Title :
Notice of Retraction
Coal rock interface recognition based on independent component analysis and BP neural network
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, a new method of coal rock interface recognition(CRIR) based on independent component analysis and BP neural network is presented. ICA algorithm was used to separate the preprocessed acoustic signal and extract independent components of coal and rock. By analyzing power spectrum of the first two independent components, we found the difference of coal and rock in specific frequency interval. Then the feature vectors created from energy function were served as the input patterns of BP neural network. Experimental result shows that the proposed approach can efficiently extract important features and has proven to be reliable in CRIR.
Keywords :
backpropagation; coal; independent component analysis; mining; neural nets; rocks; BP neural network; ICA algorithm; acoustic signal; coal rock interface recognition; energy function; feature vectors; frequency interval; independent component analysis; power spectrum; Silicon; BP neural network; acoustic signal; coal rock interface recognition; fully mechanized mining face; independent component analysis;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563951
