Neural and Adaptive Systems: Fundamentals through Simulations

Rating:
Summary: Okay book, not worth the price.
Review: The book covers the topics fairly well. Unfortunately, you won't ever use this book outside of a classroom. It seems like every page either has an illustration, or a box saying "run simulation 5.17 fom the CD, and here are 3 graphs from that simulation", or "Use the Excel plugin on the data from the CD". I suppose that is useful to those who can't follow the math. I believe it is also what causes the excessive cost of the book.

DON'T buy the book if you are looking for ways to include neural networks or machine learning into your existing applications. The book gives you formulas, and a workbench program that (once you figure it out) lets you customize it's own built-in formulas with its own data sets. It is not significantly useful when wanting to write your own adaptive system, nor does it have any significant code samples to learn from. You get the formulas and illustrations, figuring out how to apply them is up to you.

Rating:
Summary: Okay book, not worth the price.
Review: The book covers the topics fairly well. Unfortunately, you won't ever use this book outside of a classroom. It seems like every page either has an illustration, or a box saying "run simulation 5.17 fom the CD, and here are 3 graphs from that simulation", or "Use the Excel plugin on the data from the CD". I suppose that is useful to those who can't follow the math. I believe it is also what causes the excessive cost of the book.

DON'T buy the book if you are looking for ways to include neural networks or machine learning into your existing applications. The book gives you formulas, and a workbench program that (once you figure it out) lets you customize it's own built-in formulas with its own data sets. It is not significantly useful when wanting to write your own adaptive system, nor does it have any significant code samples to learn from. You get the formulas and illustrations, figuring out how to apply them is up to you.

Rating:
Summary: For a change - a title that delivers what it promises!
Review: This has got to be the best textbook I have come across! The amount of thought and care in producing this book is phenomenal. It goes into details very thoroughly, and provides plenty of examples which would easily satisfy the very bright and the very slow. The math in back of all this is ACTUALLY EXPLAINED PROPERLY! Buy the book - it's worth every cent.

Rating:
Summary: For a change - a title that delivers what it promises!
Review: This has got to be the best textbook I have come across! The amount of thought and care in producing this book is phenomenal. It goes into details very thoroughly, and provides plenty of examples which would easily satisfy the very bright and the very slow. The math in back of all this is ACTUALLY EXPLAINED PROPERLY! Buy the book - it's worth every cent.

Rating:
Summary: This is a truly unique, interactive neural network book
Review: This is a truly unique neural network book. It is an interactive book that includes a hypertext version on CD-ROM with over 200 interactive, live demonstrations of the key concepts. The examples use a commercial neural network program called NeuroSolutions. It is much more practical than many other neural network books and uses examples in lieu of a myriad of equations to explain the concepts. The book was written from the beginning in an interactive manner, thus the examples are integrated directly into the text instead of added at the end of each chapter. The goal of this book is to allow neural networks to be understood by undergraduate students and engineers who do not have the mathematical background to understand the standard, much-more theoretical neural network textbooks.

The hypertext version of the text has a seamless integration with the neural network package -- simply click on a button and the example opens up and guides you through the explanation. In addition, we have pop-up references, equation references, and keyword definitions. We have also added a series of "know more boxes" which cover more theoretical topics, but can be skipped in the first reading of the book.

Rating:
Summary: The best book for adaptive signal processing
Review: This is the best book to learn adaptive signal processing. The authors teach you the spirit of adaptation thorugh simulation played by yourself. Moreover, readers can build their own system using the NeuralSolution. No matter you are a student or an engineer, this book is very useful.

Rating:
Summary: Very Helpful and Practical
Review: Topics explored in this book include signal processing, feature extraction, linear and non-linear modelling, temporal models and an array of connectionist learning paradigms. These topics are demanding, particularly mathematically, however I have taken a lot from this book where I have had limited success with others. The authors know a great deal about their subject, which has enabled them to take a holistic approach, which explains fundamentals before building them into powerful solutions. Equations, while frequently cited are explained descriptively and often boxed separately from the main text. Learning is greatly enhanced by the 200 interactive tutorials. The NeuroSolutions software (limited version free) is the best I've seen in terms of the number of architectures and data processing algorithms provided and comes with an excel add in! I searched Amazon long and hard for this book and was not disappointed - it sets a new standard for technical education.