Neural Networks for Modelling and Control of Dynamic Systems: A Practitioner's Handbook (Advanced Textbooks in Control and Signal Processing)

3 customer reviews
ISBN-13: 978-1852332273
ISBN-10: 1852332271
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Product Details

  • Series: Advanced Textbooks in Control and Signal Processing
  • Paperback: 246 pages
  • Publisher: Springer (April 10, 2003)
  • Language: English
  • ISBN-10: 1852332271
  • ISBN-13: 978-1852332273
  • Product Dimensions: 6.1 x 0.6 x 9.2 inches
  • Shipping Weight: 13.6 ounces (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #2,601,944 in Books (See Top 100 in Books)

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6 of 7 people found the following review helpful By Igor Prislin on January 18, 2006
Format: Paperback
This is an excellent book. It contains theory and essential exaples for system identification and control based on ANN approach. The authors have also a WEB site where additional information and the toolboxes (MATLAB format) can be found.

The programs work an they are easy to understand and run.

I first tried the toolboxes (the user manuals are included with the toolboxes) and then ordered the book. It is worth having both. I highly recommend it, specially if you are a newbie in ANN but need a fast start.

Cheers!
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1 of 1 people found the following review helpful By W Boudville HALL OF FAMETOP 1000 REVIEWERVINE VOICE on January 6, 2007
Format: Paperback
Much of the book might already be familiar to a reader involved with neural networks. The authors give a recap of decades of progress into using multilayer networks in a feedback mode. Key sections of the text discuss the weighting of the nodes and how you can realistically compute these weights.

But the emphasis differs from most existing texts on neural networks. Here, the authors explain how you might control a dynamical system that could exhibit pronounced nonlinearities. The book is pitched towards someone from control systems theory. The latter has been highly developed, to handle both linear and nonlinear systems. However, if you consult standard texts on control systems, neural networks rarely (if ever) garner a mention. This book tries to correct that deficiency.
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1 of 2 people found the following review helpful By Travel_Fan on September 10, 2005
Format: Paperback Verified Purchase
The book is straight forward and useful. However, I would like to see more examples using MATLAB.
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