{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T13:01:36Z","timestamp":1725541296681},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642334771"},{"type":"electronic","value":"9783642334788"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33478-8_81","type":"book-chapter","created":{"date-parts":[[2012,9,27]],"date-time":"2012-09-27T21:27:16Z","timestamp":1348781236000},"page":"658-665","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Neural Network Approach for Computing Eigen-Pairs of Real Antisymmetric Matrices"],"prefix":"10.1007","author":[{"given":"Hang","family":"Tan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianhe","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huachun","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"3","key":"81_CR1","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11063-009-9117-1","volume":"30","author":"D. Huang","year":"2009","unstructured":"Huang, D., Yi, Z., Pu, X.: A New Incremental PCA Algorithm with Application to Visual Learning and Recognition. Neural Processing Letters\u00a030(3), 171\u2013185 (2009)","journal-title":"Neural Processing Letters"},{"issue":"2","key":"81_CR2","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1109\/34.908974","volume":"23","author":"A.M. Martinez","year":"2011","unstructured":"Martinez, A.M., Kak, A.C.: PCA versus LDA. IEEE T. Pattern Anal.\u00a023(2), 228\u2013233 (2011)","journal-title":"IEEE T. Pattern Anal."},{"key":"81_CR3","doi-asserted-by":"crossref","unstructured":"Tang, H., Tan, K.C., Yi, Z.: Neural Networks: Computational Models and Applications. Springer (2007)","DOI":"10.1007\/978-3-540-69226-3"},{"key":"81_CR4","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1016\/j.neucom.2004.10.117","volume":"67","author":"Y. Liu","year":"2005","unstructured":"Liu, Y., You, Z.S., Cao, L.P.: A functional neural network for computing the largest modulus eigenvalues and their corresponding eigenvectors of an anti-symmetric matrix. Neurocomputing\u00a067, 384\u2013397 (2005)","journal-title":"Neurocomputing"},{"key":"81_CR5","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.tcs.2006.05.026","volume":"367","author":"Y. Liu","year":"2006","unstructured":"Liu, Y., You, Z.S., Cao, L.P.: A concise functional neural network computing the largest modulus eigenvalues and their corresponding eigenvectors of a real skew matrix. Theoretical Computer Science\u00a0367, 273\u2013285 (2006)","journal-title":"Theoretical Computer Science"},{"key":"81_CR6","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1016\/j.camwa.2010.06.020","volume":"60","author":"Y. Tang","year":"2010","unstructured":"Tang, Y., Li, J.P.: Another neural network based approach for computing eigenvalues and eigenvectors of real skew-symmetric matrices. Computers & Mathematics with Applications\u00a060, 1385\u20131392 (2010)","journal-title":"Computers & Mathematics with Applications"},{"issue":"2","key":"81_CR7","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/0925-2312(93)E0055-I","volume":"7","author":"F.L. Luo","year":"1995","unstructured":"Luo, F.L., Li, Y.D.: Real-time neural computation of the eigenvector corresponding to the largest eigenvalue of positive matrix. Neurocomputing\u00a07(2), 145\u2013157 (1995)","journal-title":"Neurocomputing"},{"key":"81_CR8","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1016\/S0893-6080(05)80089-9","volume":"5","author":"E. Oja","year":"1992","unstructured":"Oja, E.: Principal components, minor components, and linear neural networks. Neural Networks\u00a05, 927\u2013935 (1992)","journal-title":"Neural Networks"},{"key":"81_CR9","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1016\/S0898-1221(04)90110-1","volume":"47","author":"Y. Zhang","year":"2004","unstructured":"Zhang, Y., Yan, F., Tang, H.J.: Neural networks based approach for computing eigenvectors and eigenvalues of symmetric matrix. Comput. Math. Appl.\u00a047, 1155\u20131164 (2004)","journal-title":"Comput. Math. Appl."},{"issue":"2","key":"81_CR10","first-page":"8","volume":"15","author":"C. Wang","year":"2010","unstructured":"Wang, C.: Several Properties of the Real Anti-symmetric Matrix. Journal of Gansu Normal College\u00a015(2), 8\u20139 (2010)","journal-title":"Journal of Gansu Normal College"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33478-8_81.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T08:11:48Z","timestamp":1620115908000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33478-8_81"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642334771","9783642334788"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33478-8_81","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}