Principle for outputs of hidden neurons in CC4 network

Authors:
Zhenya Zhang;Shuguang Zhang;Xufa Wang;Shuangping Chen;Hongmei Cheng
Affiliations:
Electronical 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;Electronical Engineering & Information Science Department, University of Science and Technology Of China and 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) 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.