Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72440
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dc.titleA high-order recursive quadratic learning algorithm
dc.contributor.authorZhu, Q.
dc.contributor.authorTan, S.
dc.contributor.authorQiao, Y.
dc.date.accessioned2014-06-19T05:08:05Z
dc.date.available2014-06-19T05:08:05Z
dc.date.issued2005
dc.identifier.citationZhu, Q.,Tan, S.,Qiao, Y. (2005). A high-order recursive quadratic learning algorithm. Lecture Notes in Computer Science 3514 (I) : 90-98. ScholarBank@NUS Repository.
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72440
dc.description.abstractA k-order Recursive Quadratic learning algorithm is proposed and its features are described in detail in this paper. Simulations are carried out to illustrate the efficiency and effectiveness of this new algorithm by comparing the results with both the projection algorithm and the conventional least squares algorithm. © Springer-Verlag Berlin Heidelberg 2005.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleLecture Notes in Computer Science
dc.description.volume3514
dc.description.issueI
dc.description.page90-98
dc.identifier.isiutNOT_IN_WOS
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