Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3277
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dc.contributorTheodosopoulos, Theodore.-
dc.contributorBranicky, Michael Stephen.-
dc.contributorLivstone, Mitchell M.-
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.-
dc.date2003-04-29T15:37:26Z-
dc.date2003-04-29T15:37:26Z-
dc.date1992-
dc.date.accessioned2013-06-04T16:16:33Z-
dc.date.available2013-06-04T16:16:33Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/3277-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionT.V. Theodosopoulos, M.S. Branicky, and M.M. Livstone.-
dc.descriptionIncludes bibliographical references (p. 8).-
dc.descriptionSupported by an Air Force Office of Scientific Research Graduate Fellowship. F49620-86-C-0127/SBF861-0436, subcontract S-789-000-056-
dc.format8 p.-
dc.format562186 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems]-
dc.relationLIDS-P ; 2124-
dc.subjectTK7855.M41 E3845 no.2124-
dc.titleA hierarchicial algorithm for neural training and control-
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