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Practical Neural Network Recipies in C++
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Kurzbeschreibung
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up. The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included. Bound in the book is an IBM diskette that includes the source code for all programs in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed both in the text and in the comments within the code to facilitate translation to other languages.
Synopsis
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course in neural networks, no background in neural works is assumed and all models are presented from the ground up. The principle focus of the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models with strong performance records are also included. Bound in the book is an IBM diskette that includes the source code for all programs in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed both in the text and in the comments within the code to facilitate translation to other languages.
In diesem Buch
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Einleitungssatz
From the time of the first primitive computing machines, their designers and users have been trying to push computers beyond the role of automatic calculators and into the realm of "thinking" machines. Lesen Sie die erste Seite
Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
From the time of the first primitive computing machines, their designers and users have been trying to push computers beyond the role of automatic calculators and into the realm of "thinking" machines. Lesen Sie die erste Seite
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis | Rückseite
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1 von 1 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
The book's title is misleading. They should have take out the words "Practical" and "C++". It's very academic, and a few REAL C++ codes.
This book is not for beginners, and not practical, not written with C++ in mind (or OO programming).
The first impression I've got when I opened this book is that I thought I was reading someone's thesis.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
I do not recommend this book. I returned it within 10 days of my purchase, as I found it hard to follow and vague in many areas. Instead of buying this book, I recommend Object Oriented Neural Networks in C++ by Joey Rogers. It provides a very clear explanation of what NNs are, how they work, and how to implement them.
Format:Taschenbuch
Some of the other reviewers of this book must have suffered from a misconception about the book. It is exactly as advertised, if you don't think so, compare it to Neural Networks, A Comprehensive Foundation by Haykin or Artificial Neural Networks by Schalkoff. Those are REALLY academic. Neural Networks is a very difficult topic,but this book does the best job I've seen yet of explaining Neural Nets in a Straightfoward, understandable way. C++ Neural Networks & Fuzzy Logic by V. and H. Rao tried this and failed. The math is very needed, and I respect the approach of only looking at one type of neural net (feedfoward 3 layer) in depth rather than a billion short, unexplained looks a many. Yes, the code is not the best I've ever seen, and it gets a bit rough to follow, but it explains the ideas. Overall I'd say know a little about what you're getting into before buying ANY book on Neural Networks.
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Very comprehensive, well written. Code needs better doc.
Very nice job.
The only negative criticisms I have deal with the computer code:
1) The appendix does not do a good job of describing how to run the code. Lesen Sie weiter...
Veröffentlicht am 19. November 1999 von Jeff Haferman
Great intro to neural networks -- Many examples
When I received Pratical Neural Network Recipes in C++, I was pleasantly surprised on how easy it was to follow. Lesen Sie weiter...
Am 24. August 1999 veröffentlicht
Fantasic introduction to neural networks.
The author does a great job with this book. He presents the complex material of neural networks in a very simple manner making it understandable to anyone interested in: (1)... Lesen Sie weiter...
Am 19. Juni 1998 veröffentlicht
How to build 'em - How to use 'em - And actual source code!
Easily the best treatment of neural networks I have ever read. Outstanding treatment of the innards, how they work, and years of practical experience boiled down into heuristics... Lesen Sie weiter...
Am 14. Februar 1997 veröffentlicht
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