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Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning

Erdal Kayacan, Mojtaba Ahmadieh Khanesar




[PDF.cw60] Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning

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 | #3928299 in Books |  2015-10-01 |  2015-09-17 | Original language:English | PDF # 1 |  9.00 x.62 x6.00l,1.10 | File type: PDF | 264 pages

||About the Author|Erdal Kayacan received a B.Sc. degree in electrical engineering from Istanbul Technical University, Istanbul, Turkey, in 2003 and a M.Sc. degree in systems and control engineering from Bogazici University, Istanbul, Turkey, in 2006. In September

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS

Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book!

Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be ...

You easily download any file type for your device.Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning   |  Erdal Kayacan, Mojtaba Ahmadieh Khanesar. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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