Titlebook: Adaptive Modelling, Estimation and Fusion from Data; A Neurofuzzy Approac Chris Harris,Xia Hong,Qiang Gan Book 2002 Springer-Verlag Berlin

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Elmar Helten,Andreas Bittl,Thomas Hartungsional spaces. In nonparametric models, the parameters are not predetermined, but are determined by the training data so that the model capacity reflects complexity contained in the data. Of particular importance in this context is the class of nonparametric models whose output is a linear combinati

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Book 2002d out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion..

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Adaptive Modelling, Estimation and Fusion from Data978-3-642-18242-6

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Christoph Schmidt,Hartmut T. Renzonferences and academic journals, together with a rapidly increasing number and diversity of applications is a testament to the vitality and importance of this subject, despite the continuing debate over its intellectual viability.

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Manuel Wingendorf,Adrian Bombelkathe curse of dimensionality. Clearly, other decompositions or partitioning are possible including irregular simplexes (see Figure 6.1(a)) and data clustering with centred Gaussians (see Figure 6.1(b)).

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