Abstract
Corner classification (CC) is a kind of algorithms for instantly classification. The feed forward neural network trained by CC algorithm can be used validly by information retrieval, especially online information retrieval. CC4 is the fourth version of CC. In this paper, the generalized distance is defined according to the construction of weight matrix of hidden layer of CC4. With the definition of generalized distance, the principle for outputs of hidden neurons in CC4 network is given.
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., Wang, X., Chen, S., Cheng, H. (2005). Principle for Outputs of Hidden Neurons in CC4 Network. 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_8
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DOI: https://doi.org/10.1007/11427445_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25913-8
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