Lybrary.com: ebooks and download videos Search All  Title  Author 
Home / Nonfiction / Technology / Engineering / Mechanical

Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning

$99.00
| £80.90 | €93.68 | Ca$134.88 | Au$132.55
by Erdal Kayacan & Mojtaba Ahmadieh Khanesar
What is this?DRM-EPUB by download  |  $99.00
What is this?DRM-PDF by download  |  $99.00
add to wish list
Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning by Erdal Kayacan & Mojtaba Ahmadieh Khanesar

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS

Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book!

Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book.

A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis.

You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are:

• Gradient descent

• Levenberg-Marquardt

• Extended Kalman filter

In addition to the aforementioned conventional learning methods above, number of novel sliding mode control theory-based learning algorithms, which are simpler and have closed forms, and their stability analysis have been proposed. Furthermore, hybrid methods consisting of particle swarm optimization and sliding mode control theory-based algorithms have also been introduced.

The potential readers of this book are expected to be the undergraduate and graduate students, engineers, mathematicians and computer scientists. Not only can this book be used as a reference source for a scientist who is interested in fuzzy neural networks and their real-time implementations but also as a course book of fuzzy neural networks or artificial intelligence in master or doctorate university studies. We hope that this book will serve its main purpose successfully.

  • Parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis
  • Contains algorithms that are applicable to real time systems
  • Introduces fast and simple adaptation rules for type-1 and type-2 fuzzy neural networks
  • Number of case studies both in identification and control
  • Provides MATLAB? codes for some algorithms in the bookTo view this DRM protected ebook on your desktop or laptop you will need to have Adobe Digital Editions installed. It is a free software. We also strongly recommend that you sign up for an AdobeID at the Adobe website. For more details please see FAQ 1&2. To view this ebook on an iPhone, iPad or Android mobile device you will need the Adobe Digital Editions app, or BlueFire Reader or Txtr app. These are free, too. For more details see this article.


    SHARE  Share by Email  Share on Facebook  Share on Twitter  Share on Linked In  Share on Delicious
    or call in the US toll free 1-888-866-9150 product ID: 780727

    Ebook Details
    Pages: 264
    Size: 8.0 MB
    Publisher: Butterworth-Heinemann
    Date published:   2015
    ISBN: 2370006850793 (DRM-EPUB)
    9780128027035 (DRM-PDF)

    DRM Settings
    Copying:allowed
    Printing:allowed
    Read Aloud:  not allowed

This product is listed in the following categories:

Nonfiction > Computers > Computer Science
Nonfiction > Computers > Artificial Intelligence
Nonfiction > Technology > Engineering > Mechanical

If you find anything wrong with this product listing, perhaps the description is wrong, the author is incorrect, or it is listed in the wrong category, then please contact us. We will promptly address your feedback.

Submit 5 page SummaryWhat is this?

03/27/2017
© 2017 Lybrary.com