Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

DPD courier 4.99 € GLS courier 9.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Nonlinear System Identification

Name: Nonlinear System Identification
Brand: Springer, Berlin
SKU: 01567346
Price: 151.24 EUR
Availability: InStock
Author: Oliver Nelles
ISBN: 9783540673699

From Classical Approaches to Neural Networks and Fuzzy Models

Oliver Nelles

Language

English

Book Hardback

Libristo code: 01567346

Publishers Springer, Berlin, November 2000

This book covers the most common and important approaches for the identification of nonlinear static... Full description

Libristo code: 01567346

365 b

151.24 €

In stock at our supplier Shipping in 10-13 days

Up to 30 days for returns

Customers also purchased

Diabétologie-Endocrinologie Benjamin Bouillet

Paperback

19.95 €

L'incroyable équipée de Phosphore Noloc et de ses compagnons Gripari

Paperback

20.55 €

Les Francs-maçons et le Pouvoir Emmanuel Pierrat

Paperback

24.91 €

Noragami T19

Paperback

10.63 €

Zloději času Vítězslav Jareš

Book

4.85 €

Das Muskel-Workout Ingo Froböse

Paperback

17.62 €

Bemessung im konstruktiven Betonbau Konrad Zilch

Paperback

80.22 €

Un bref instant de splendeur OCEAN VUONG

Paperback

12.75 €

Hábitos atómicos CLEAR JAMES

Paperback

21.67 €

Abismo y Escalada Jm Corchado

Paperback

12.45 €

NLP in der Bildung erforschen Dheeraj Mehrotra

Paperback

44.56 €

Peter Beard Steven M.L. Aronson

Hardback

71.21 €

This book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. Additionally, it provides the reader with the necessary background on optimization techniques making the book self-contained. The emphasis is put on modern methods based on neural networks and fuzzy systems without neglecting the classical approaches. The entire book is written from an engineering point-of-view, focusing on the intuitive understanding of the basic relationships. This is supported by many illustrative figures. Advanced mathematics is avoided. Thus, the book is suitable for last year undergraduate and graduate courses as well as research and development engineers in industries.