Dynamic fuzzy neural networks : principles, algorithms and applications
The objective of this thesis is to develop FNN's by various techniques so that these systems can be used for on-line identification and control processes in dealing with nonlinear, time-varying, ill-defined systems.
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sg-ntu-dr.10356-37782023-07-04T15:21:11Z Dynamic fuzzy neural networks : principles, algorithms and applications Wu, Shi Qian. Er, Meng Joo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems The objective of this thesis is to develop FNN's by various techniques so that these systems can be used for on-line identification and control processes in dealing with nonlinear, time-varying, ill-defined systems. Doctor of Philosophy (EEE) 2008-09-17T09:37:22Z 2008-09-17T09:37:22Z 2001 2001 Thesis http://hdl.handle.net/10356/3778 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Wu, Shi Qian. Dynamic fuzzy neural networks : principles, algorithms and applications |
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The objective of this thesis is to develop FNN's by various techniques so that these systems can be used for on-line identification and control processes in dealing with nonlinear, time-varying, ill-defined systems. |
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Er, Meng Joo |
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Er, Meng Joo Wu, Shi Qian. |
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Theses and Dissertations |
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Wu, Shi Qian. |
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Wu, Shi Qian. |
title |
Dynamic fuzzy neural networks : principles, algorithms and applications |
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Dynamic fuzzy neural networks : principles, algorithms and applications |
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Dynamic fuzzy neural networks : principles, algorithms and applications |
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Dynamic fuzzy neural networks : principles, algorithms and applications |
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Dynamic fuzzy neural networks : principles, algorithms and applications |
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dynamic fuzzy neural networks : principles, algorithms and applications |
publishDate |
2008 |
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http://hdl.handle.net/10356/3778 |
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1772827016942321664 |