TextCC: New Feed Forward Neural Network for Classifying Documents Instantly

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...

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Hauptverfasser:	Zhang, Zhenya, Zhang, Shuguang, Chen, Enhong, Wang, Xufa, Cheng, Hongmei
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Cosine Similarity Exact sciences and technology Feed Forward Neural Network Learning and adaptive systems Probe Vector Training Algorithm Weight Matrix
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Beschreibung
Zusammenfassung:	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.
ISSN:	0302-9743 1611-3349
DOI:	10.1007/11427445_37