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TextCC: New Feed Forward Neural Network for Classifying Documents Instantly

  • Conference paper
Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3497))

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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.

This paper was granted financial support from “21st Century Education Revitalization Project” and “China Postdoctoral Science Foundation (2004036463)”.

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© 2005 Springer-Verlag Berlin Heidelberg

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Zhang, Z., Zhang, S., Chen, E., Wang, X., Cheng, H. (2005). TextCC: New Feed Forward Neural Network for Classifying Documents Instantly. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_37

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  • DOI: https://doi.org/10.1007/11427445_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25913-8

  • Online ISBN: 978-3-540-32067-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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