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Adaptive Modelling, Estimation and Fusion from Data

Chris Harris, Xia Hong, Qiang Gan




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 | #14029818 in Books |  2002-06-20 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,1.45 | File type: PDF | 323 pages

||3 of 4 people found the following review helpful.| Where is the data ?|By Steve Uhlig|While i do not deny the contribution at providing a more or less complete treatment of neurofuzzy techniques for data modeling, i'm still wondering where the non-theoretical chapters dealing with how to cope with real data with these techniques are hidden. The few examples in the book are mostly artificial and very limited in their scope. i'm| ||From the reviews: | |"This is an account of a major development by a research group in Southampton University on the extension of adaptive techniques to nonlinear and nonstationary environments. … There seems to be no doubt that this well-presented boo

This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are illustrated with benchmark examples to demonstrate their efficiency. The book aims at researchers and advanced pr...

You can specify the type of files you want, for your gadget.Adaptive Modelling, Estimation and Fusion from Data   |  Chris Harris, Xia Hong, Qiang Gan.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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