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Mixed transfer function neural networks for generalization and knowledge extraction

Khan, Muhammad Imad. 2006, Mixed transfer function neural networks for generalization and knowledge extraction, Ph.D. thesis, School of Engineering and Information Technology, Deakin University.


Title Mixed transfer function neural networks for generalization and knowledge extraction
Author Khan, Muhammad Imad.
Institution Deakin University
School School of Engineering and Information Technology
Faculty Faculty of Science and Technology
Degree name Ph.D.
Date submitted 2006
Keyword(s) Neural networks (Computer science)
Computer simulation
Knowledge acquisition (Expert systems)
Summary This thesis develops a novel framework of nonlinear modelling to adaptively fit the complexity of the model to the problem domain resulting in a better modelling capability and a straightforward knowledge acquisition. The developed framework also permits increased comprehensibility and user acceptability of modelling results.
Notes Degree conferred 2007.
Language eng
Description of original 193 leaves ; 30 cm.
Dewey Decimal Classification 006.32
Persistent URL http://hdl.handle.net/10536/DRO/DU:30027064

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Created: Thu, 01 Apr 2010, 15:52:29 EST

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