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

Name: Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy
Brand: Steidl Publishing
SKU: 9783642621192
Price: 149.00 USD
Availability: InStock
Rating: 4 (1 reviews)

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

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Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach
Written by author Chris Harris
Published by Springer-Verlag New York, LLC, 1/28/2013
"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 modeling, new c

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Authors

1 An introduction to modelling and learning algorithms 1

2 Basic concepts of data-based modelling 25

3 Learning laws for linear-in-the parameters networks 53

4 Fuzzy and neurofuzzy modelling 71

5 Parsimonious neurofuzzy modelling 103

6 Local neurofuzzy modelling 153

7 Delaunay input space partitioning modelling 201

8 Neurofuzzy linearisation modelling for nonlinear state estimation 225

9 Multisensor data fusion using Kalman filters based on neurofuzzy linearisation 255

10 Support vector neurofuzzy models 281

References 307

Index 319

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

Manufacturer:

Steidl Publishing

Item Number: 9783642621192

Number: 1

Product Description: Full Name: Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach; Short Name:Adaptive Modelling, Estimation and Fusion from Data

Universal Product Code (UPC): 9783642621192

WonderClub Stock Keeping Unit (WSKU): 9783642621192

Rating: 4/5 based on 1 Reviews

Image Location: https://wonderclub.com/images/covers/11/92/9783642621192.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 6.140 cm (2.42 inches)

Heigh : 9.210 cm (3.63 inches)

Depth: 0.710 cm (0.28 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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

Add 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 modeling, new c, Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach to the inventory that you are selling on WonderClub

Add 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 modeling, new c, Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach to your collection on WonderClub

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1	An introduction to modelling and learning algorithms	1
2	Basic concepts of data-based modelling	25
3	Learning laws for linear-in-the parameters networks	53
4	Fuzzy and neurofuzzy modelling	71
5	Parsimonious neurofuzzy modelling	103
6	Local neurofuzzy modelling	153
7	Delaunay input space partitioning modelling	201
8	Neurofuzzy linearisation modelling for nonlinear state estimation	225
9	Multisensor data fusion using Kalman filters based on neurofuzzy linearisation	255
10	Support vector neurofuzzy models	281
	References	307
	Index	319