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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| creator | Zhang, Zhenya Zhang, Shuguang Chen, Enhong Wang, Xufa Cheng, Hongmei |
| description | 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. |
| doi_str_mv | 10.1007/11427445_37 |
| format | Conference Proceeding |
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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. 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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.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Cosine Similarity</subject><subject>Exact sciences and technology</subject><subject>Feed Forward Neural Network</subject><subject>Learning and adaptive systems</subject><subject>Probe Vector</subject><subject>Training Algorithm</subject><subject>Weight Matrix</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540259138</isbn><isbn>3540259139</isbn><isbn>9783540259121</isbn><isbn>3540259120</isbn><isbn>3540320679</isbn><isbn>9783540320678</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNUDtPwzAYNC-JUDrxB7wwMARsf44fbChQqKhgKbPlOnYVmiaVnar035OqDNxy0r2GQ-iGkntKiHyglDPJeWFAnqArKDgBRoTUpyijgtIcgOszNNZSHTxWaArqHGUECMu15HCJxil9kwFAxdDN0Pvc__Rl-Yg__A5PvK_wpIs7G6tB2EbbDNTvurjCoYu4bGxKddjX7RI_d2679m2f8LRNvW37Zn-NLoJtkh__8Qh9TV7m5Vs--3ydlk-zfMOo7vNK8cKTyrOKgRAggGgSHPOcWQ1KUaeIgOB05RYSwHlfOBvAcwAp-aJgMEK3x92NTc42IdrW1clsYr22cW-oUIpJzYfc3TGXBqtd-mgWXbdKhhJzeNP8exN-AY7mYIo</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Zhang, Zhenya</creator><creator>Zhang, Shuguang</creator><creator>Chen, Enhong</creator><creator>Wang, Xufa</creator><creator>Cheng, Hongmei</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>TextCC: New Feed Forward Neural Network for Classifying Documents Instantly</title><author>Zhang, Zhenya ; Zhang, Shuguang ; Chen, Enhong ; Wang, Xufa ; Cheng, Hongmei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-d845e0de2d2366363090fc2e42a93881c8063fc9dcb733cee5caf3e433774b523</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Cosine Similarity</topic><topic>Exact sciences and technology</topic><topic>Feed Forward Neural Network</topic><topic>Learning and adaptive systems</topic><topic>Probe Vector</topic><topic>Training Algorithm</topic><topic>Weight Matrix</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Zhenya</creatorcontrib><creatorcontrib>Zhang, Shuguang</creatorcontrib><creatorcontrib>Chen, Enhong</creatorcontrib><creatorcontrib>Wang, Xufa</creatorcontrib><creatorcontrib>Cheng, Hongmei</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Zhenya</au><au>Zhang, Shuguang</au><au>Chen, Enhong</au><au>Wang, Xufa</au><au>Cheng, Hongmei</au><au>Yi, Zhang</au><au>Liao, Xiao-Feng</au><au>Wang, Jun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>TextCC: New Feed Forward Neural Network for Classifying Documents Instantly</atitle><btitle>Advances in Neural Networks – ISNN 2005</btitle><date>2005</date><risdate>2005</risdate><spage>232</spage><epage>237</epage><pages>232-237</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540259138</isbn><isbn>3540259139</isbn><isbn>9783540259121</isbn><isbn>3540259120</isbn><eisbn>3540320679</eisbn><eisbn>9783540320678</eisbn><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.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11427445_37</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Advances in Neural Networks – ISNN 2005, 2005, p.232-237 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16882794 |
| source | Springer Books |
| subjects | 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 |
| title | TextCC: New Feed Forward Neural Network for Classifying Documents Instantly |
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