Exploring Neural Networks with C#
Author:   Ryszard Tadeusiewicz ,  Rituparna Chaki ,  Nabendu Chaki
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138440173


Pages:   298
Publication Date:   27 July 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Exploring Neural Networks with C#


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Author:   Ryszard Tadeusiewicz ,  Rituparna Chaki ,  Nabendu Chaki
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138440173


ISBN 10:   1138440175
Pages:   298
Publication Date:   27 July 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction to Natural and Artificial Neural Networks. A Neural Net Structure. Teaching the networks. Functioning of a Simplest Network. Teaching Simple Linear One Layer Neural Networks. Nonlinear Networks. Backpropagation. Forms of Neural Networks Learning. Self-Learning Neural Networks. Self-Organizing Neural Networks. Recurrent Networks.

Reviews

This book offers a real-life experimentation environment to readers. Moreover, it permits direct and personal exploration of neural learning and modeling. The companion software to this book is a collection of online programs that facilitate such exploratory methods and systematic self-discovery of neural networks. The programs are available in two forms-as executable applications ready for immediate use as described in the book or as source codes in C#. ... As past president of IEEE's Computational Intelligence Society with over 6,000 members and the editor-in-chief of IEEE Transactions on Neural Networks, I am very interested in the success of neural network technology. I, therefore, highly recommend this book to all who want to learn neurocomputing techniques for their unique and practical educational value.-Dr. Jacek M. Zurada, Department of Electrical and Computer Engineering, University of Louisville, Kentucky This book offers a real-life experimentation environment to readers. Moreover, it permits direct and personal exploration of neural learning and modeling. The companion software to this book is a collection of online programs that facilitate such exploratory methods and systematic self-discovery of neural networks. The programs are available in two forms-as executable applications ready for immediate use as described in the book or as source codes in C#. ... As past president of IEEE's Computational Intelligence Society with over 6,000 members and the editor-in-chief of IEEE Transactions on Neural Networks, I am very interested in the success of neural network technology. I, therefore, highly recommend this book to all who want to learn neurocomputing techniques for their unique and practical educational value.-Dr. Jacek M. Zurada, Department of Electrical and Computer Engineering, University of Louisville, Kentucky


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Ryszard Tadeusiewicz, Rituparna Chaki, Nabendu Chaki

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