Adaptive Modelling, Estimation and Fusion from Data
A Neurofuzzy Approach
Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
| Author: | Chris Harris, Xia Hong, Qiang Gan | ISBN: | 9783642182426 |
| Publisher: | Springer Berlin Heidelberg | Publication: | October 5, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | Chris Harris, Xia Hong, Qiang Gan |
| ISBN: | 9783642182426 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | October 5, 2012 |
| Imprint: | Springer |
| Language: | English |
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.
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.
