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Introduction to Neural Computing By Igor Aleksander

Introduction to Neural Computing

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The second edition of this text has been updated and includes material on new developments including neurocontrol, pattern analysis and dynamic systems. The book should be useful for undergraduate students of neural networks.
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Introduction to Neural Computing Summary


Introduction to Neural Computing by Igor Aleksander

Since the first edition of this book was published, much has happened in the field of neural networks. The authors reflect these changes by updating and introducing material on new developments including neurocontrol, pattern analysis and dynamic systems. This book should be useful for undergraduate students of neural networks.

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Table of Contents


Introduction - Why neural nets? Principles and promises. The McCulloch and Pitts legacy. The hard learning problem. Making neurons. The secrets of Wisard. Multi-layer perceptrons. Dynamic networks. Variations. Neurocontrol. Varieties of pattern analysis. Developments in weightless systems. Trends and promises.

Additional information

GOR005515115
Introduction to Neural Computing by Igor Aleksander
Igor Aleksander
Used - Very Good
Paperback
Cengage Learning EMEA
1995-08-31
288
1850321671
9781850321675
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us.