Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4260
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dc.contributor.authorFu, Xiuju.en_US
dc.date.accessioned2008-09-17T09:47:54Z-
dc.date.available2008-09-17T09:47:54Z-
dc.date.copyright2003en_US
dc.date.issued2003-
dc.identifier.urihttp://hdl.handle.net/10356/4260-
dc.description.abstractThere are many tools for data mining. Neural network is important in data mining due to its intuitional characteristics superior to other methods. The principles of neural networks are derived from the thinking pattern of the human brain. A neural network learns patterns form noisy data for generalization. In our work, the radial basis function network is employed.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems-
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies-
dc.titleData mining using radial basis function neural networksen_US
dc.typeThesisen_US
dc.contributor.supervisorWang, Lipoen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeDoctor of Philosophy (EEE)en_US
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