TextCC: new feed forward neural network for classifying documents instantly

Authors:
Zhenya Zhang;Shuguang Zhang;Enhong Chen;Xufa Wang;Hongmei Cheng
Affiliations:
Electronic Engineering & Information Science Department University of Science and Technology of China and Computer Science Department of USTC, Hefei, China;Statistics & Finance Department of USTC, Hefei, China;Computer Science Department of USTC, Hefei, China;Computer Science Department of USTC, Hefei, China;Mathematics Department of Anhui Normal University, Wuhu, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

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Abstract

Corner classification (CC) network is a kind of feed forward neural network for instantly document classification. To classify text object instantly, new training algorithm, named as TextCC, for feed forward neural network is presented in this paper. To give a solution for multi-corner judging, new training algorithm for the construction of weight matrix of output layer of CC is given. Experimental results show that TextCC can work well and the precision of TextCC is higher than CC4's.