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Exploring Neural Networks with C#

Exploring Neural Networks with C#

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The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations—making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.

Exploring Neural Networks with C# presents the important properties of neural networks—while keeping the complex mathematics to a minimum. Explaining how to build and use neural networks, it presents complicated information about neural networks structure, functioning, and learning in a manner that is easy to understand.

Taking a "learn by doing" approach, the book is filled with illustrations to guide you through the mystery of neural networks. Examples of experiments are provided in the text to encourage individual research. Online access to C# programs is also provided to help you discover the properties of neural networks.

Following the procedures and using the programs included with the book will allow you to learn how to work with neural networks and evaluate your progress. You can download the programs as both executable applications and C# source code from http://home.agh.edu.pl/~tad//index.php?page=programy&lang=en

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kr 840
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The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations—making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.

Exploring Neural Networks with C# presents the important properties of neural networks—while keeping the complex mathematics to a minimum. Explaining how to build and use neural networks, it presents complicated information about neural networks structure, functioning, and learning in a manner that is easy to understand.

Taking a "learn by doing" approach, the book is filled with illustrations to guide you through the mystery of neural networks. Examples of experiments are provided in the text to encourage individual research. Online access to C# programs is also provided to help you discover the properties of neural networks.

Following the procedures and using the programs included with the book will allow you to learn how to work with neural networks and evaluate your progress. You can download the programs as both executable applications and C# source code from http://home.agh.edu.pl/~tad//index.php?page=programy&lang=en

Produktdetaljer
Sprog: Engelsk
Sider: 298
ISBN-13: 9781482233391
Indbinding: Paperback
Udgave:
ISBN-10: 1482233398
Udg. Dato: 2 sep 2014
Længde: 18mm
Bredde: 177mm
Højde: 255mm
Forlag: Taylor & Francis Inc
Oplagsdato: 2 sep 2014
Forfatter(e) Rituparna Chaki, Ryszard Tadeusiewicz, Nabendu Chaki


Kategori Neurale net og fuzzy systemer


ISBN-13 9781482233391


Sprog Engelsk


Indbinding Paperback


Sider 298


Udgave


Længde 18mm


Bredde 177mm


Højde 255mm


Udg. Dato 2 sep 2014


Oplagsdato 2 sep 2014


Forlag Taylor & Francis Inc

Kategori sammenhænge