Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach

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.

Author: Chris Harris, Xia Hong, Qiang Gan
Publisher: Springer
Published: 09/21/2012
Pages: 323
Binding Type: Paperback
Weight: 1.05lbs
Size: 9.21h x 6.14w x 0.71d
ISBN13: 9783642621192
ISBN10: 3642621198
BISAC Categories:
- Computers | Artificial Intelligence | Computer Vision & Pattern Recognit
- Computers | Data Science | General
- Mathematics | Probability & Statistics | General

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