2007 IEEE International Conference on Granular Computing (GRC 2007) An Application of CP Neural Network Based on Rough Set in Image Edge Detection San Jose, California November 02-November 04 ISBN: 0-7695-3032-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GrC.2007.23
Based on the Rough Set theory, a Counter Propagation Neural Network algorithm for edge detection is presented in this paper. Firstly, a definition of Rough Membership Function, which is used to modify the weigh values in the nomal Counter Propagation Neural Network, is proposed after introducing the Rough Set. Experiments show that the approach has achieved good results in improving the accuracy of detection. And this algorithm can also overcome effectively the ploblem of simply cluser in the nomal Counter Propagation Neural Network.
Citation:
Min Dong, HuiYu Jiang, XiangPeng Li, Qing Liu, "An Application of CP Neural Network Based on Rough Set in Image Edge Detection," grc, pp.558, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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