Neural Network Design (Electrical Engineering)

Neural Network Design (Electrical Engineering)
Martin T. Hagan,Howard B. Demuth,Mark H. Beale | 1995-12-29 00:00:00 | PWS Pub. Co. | 736 | Certification Central
This guide to neural networks includes worked problems in each chapter, and supporting software demonstrations. The authors of this work also developed the neural networks toolbox (for MathWorks) and the fuzzy systems toolbox (for PWS).
Reviews
I had the pleasure of not only using this text for my neural network design graduate course, but also taking the course from one of the authors (Professor Howard Demuth).



This book is extremely well written. Being a PhD student in computer engineering, I have read many math books and advanced engineering books. Most of these books are informative, but difficult to read. Much of this is understandable because the topics are complex and explaining them in a very simple manner requires significantly more time. More diagrams, more examples, rewriting paragraphs to improve clarity, etc. This book tackles all of those issues perfectly!



Right now I am reading one of the other "classic" math texts and while I am already familiar with the topic, the reading is extremely difficult. Due to this, I recalled how easy it was to understand the neural network design text and wished my current author wrote more like them.



If you are interested in machine learning, in particular, neural networks, this is a superb book to get you started. Even the most complex mathematical topics in linear algebra and network design are explained so almost anyone can understand. Even if you do not have a strong mathematical background, you'll be able to understand almost all of the math.



Excellent book - (5/5 stars)!
Reviews
Very useful book to have if you plan to use NN (specially in matlab environment). The theory is very well covered and explained, along with graphical examples. The book lacks however, more insight into how to implemen NN in real world problems (for that, I would suggest seeing Fundamentals of NN by Laurene V. Fausett).
Reviews
I knew the very poor Matlab Neural Network Toolbox User's Guide by the same authors and I was kind of expecting the same, and boy was I wrong!

This book is simply brilliant, a miracle of pedagogy. It is intended for undergrad classes, but it is so clear that graduate students will benefit enormously from reading it before any other material. Plainly put, this book makes you UNDERSTAND this difficult topic, more than any other book that I know of (Zurada, Smith, Hassoun, Haykin, Duda-Hart, Caudill, etc)

A selection of worked out problems are included at the end of each chapter, a practice that is highly beneficial but alas too rare in books of the kind.

I very much appreciated the very clear exposition of backpropagation, and optimization methods such as Levenberg-Marquardt.

A note to Matlab users: funky demos are available for free and illustrate the main points of the book.
Reviews
I have been studying neural network design for almost 30 years now and I have never found a more enchanting text book than this one. From day one I could not put it down. In fact, I bought a copy for each member of my extended family. Beale is brilliant in the way he demostrates the design and capability of neural network systems. No one has ever captured the public's imagination and heart the way he does in this compelling work. He has taken the study of neural networks to the next level. Hence, the world will be a better place. H2BurBabes4Ever.
Reviews
I purchased this book while looking for an appropriate textbook for use in my class on neural networks. This book is excellent for both beginners and experts. It is a rare book in that it demonstrates complex mathematical manipulations and principles (that are difficult to grasp and visualize - and explain) using examples. The review on mathematical principles is very useful. The book makes it easier to teach the subject now. Given the way everything is presented, this book will also help those that want to code their own networks. I recommend this book to everyone.

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