Exploring Neural Networks with C#

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 formsas executable applications ready for immediate use as described in the book or as source codes in C#. ... As past president of IEEEs 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 formsas executable applications ready for immediate use as described in the book or as source codes in C#. ... As past president of IEEEs 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

Ryszard Tadeusiewicz, Rituparna Chaki, Nabendu Chaki

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.