Description: Adaptive Modelling, Estimation and Fusion from Data Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). A Neurofuzzy Approach Author(s): Chris Harris, Xia Hong, Qiang Gan Format: Paperback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642621192, 978-3642621192 Synopsis 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 professionals in time series modelling, empirical data modelling, knowledge discovery, data mining and data fusion.
Price: 72.91 GBP
Location: Aldershot
End Time: 2024-11-22T12:42:34.000Z
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Book Title: Adaptive Modelling, Estimation and Fusion from Data
Number of Pages: 323 Pages
Language: English
Publication Name: Adaptive Modelling, Estimation and Fusion from Data: a Neurofuzzy Approach
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2012
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 522 g
Type: Textbook
Author: Chris Harris, Xia Hong, Qiang Gan
Series: Advanced Information Processing
Item Width: 155 mm
Format: Paperback