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Title:
Exploring Neural Networks with C# [electronic resource] / Tadeusiewicz, Ryszard.
Author:
Tadeusiewicz, Ryszard.
Published:
Hoboken : Taylor and Francis, 2014.
Description:
1 online resource (296 p.)
Summary:
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 t.
Contents:
Front Cover; Contents; Foreword; Preface; Acknowledgments; Chapter 1: Introduction to Natural and Artificial Neural Networks; Chapter 2: Neural Net Structure; Chapter 3: Teaching Networks; Chapter 4: Functioning of Simplest Networks; Chapter 5: Teaching Simple Linear One-Layer Neural Networks; Chapter 6: Nonlinear Networks; Chapter 7: Backpropagation; Chapter 8: Forms of Neural Network Learning; Chapter 9: Self-Learning Neural Networks; Chapter 10: Self-Organizing Neural Networks; Chapter 11: Recurrent Networks; Back Cover
Notes:
Description based upon print version of record.
Other Authors:
Chaki, Rituparna.

Chaki, Nabendu.
ISBN:
9781482233407 (electronic bk.)

1482233401 (electronic bk.)

9781482233391
Online Access:
e-book

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