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Performance efficiency factors for the comparison of data-driven design algorithms for fuzzy controllers with application to robot navigation - by Mouhannad Mounif Alkhatib

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dc.contributor.author Alkhatib, Mouhannad Mounif
dc.date.accessioned 2012-06-13T06:47:28Z
dc.date.available 2012-06-13T06:47:28Z
dc.date.issued 2001
dc.identifier.uri http://hdl.handle.net/10938/5975
dc.description Thesis (M.E.)--American University of Beirut. Department of Electrical and Computer Engineering, 2001;"Advisor: Dr. Jean Saade, Associate Professor, Electrical and Computer Engineering--Member of Committee: Dr. M. Adnan Al-Alaoui, Professor, Electrical an
dc.description.abstract The main problem related to the design of a fuzzy inference system (fuzzy logic controller) consists of coming up with knowledge acquistion techniques leading to a linguistic and adequate expert knowledge representation. Recently a new learning algorithm
dc.format.extent xvi, 127 leaves : ill., tables
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ET:004140 AUBNO
dc.subject.lcsh Fuzzy algorithms
dc.subject.lcsh Mobile robots
dc.subject.lcsh Robots -- Motion
dc.title Performance efficiency factors for the comparison of data-driven design algorithms for fuzzy controllers with application to robot navigation - by Mouhannad Mounif Alkhatib
dc.type Thesis
dc.contributor.department American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering


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