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Fb2 Introduction to Neural Computing ePub

Subcategory: Different
ISBN: 041260390X
ISBN13: 978-0412603907
Publisher: Chapman & Hall (May 1991)
Fb2 eBook: 1379 kb
ePub eBook: 1180 kb
Digital formats: docx txt mbr azw

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Good overview of neural computing, doesn't assume thick domain knowledge. Dated but still very usable. This book is a great introduction to the subject of Neural Networks for someone with no background in the field

Good overview of neural computing, doesn't assume thick domain knowledge. A little bit of math but nothing blocking. This book is a great introduction to the subject of Neural Networks for someone with no background in the field. The book clearly presents a wide range of techniques for neural computing with sections dedicated to the background of the technique, algorithms for implementing the technique, the mathematics behind the algorithms, and examples where such networks have been used.

Introduction to Neural Computing Paperback – May, 1991. Find all the books, read about the author, and more. by. Igor Aleksander (Author).

Neural computing started in 1943 with the publication of a startling result by the American scientists Warren McCulloch and Walter . I. Aleksander and H. Morton, An Introduction to Neural Computing, Chapman and Hall (1990).

Neural computing started in 1943 with the publication of a startling result by the American scientists Warren McCulloch and Walter Pitts. An important book on the subject with emphasis on information processing aspects and also on networks composed of logical (Boolean) neurons. 2. R. Beale and T. Jackson, Neural Computing (An Introduction), Adam Ililger (1990).

Neural computing : an introduction 1. Artificial intelligence I. Title 1.

Section . is based on material from Perceptrons by M hlinsky and S Papert, pp 164-9, 0 1 9 6 9 M I T Press. These people all bring a different background to the area, and one of the aims of this book is to provide a common ground from which new developments can grow.

An ideal text for undergraduate students of neural networks.

The authors reflect these changes by updating existing material and introducing material on the new developments-new topics covered include neurocontrol, pattern analysis and dynamic systems. An ideal text for undergraduate students of neural networks.

Introduction to Neural Computing book. It includes new material on recent developments in neural networks, such as neurocontrol, pattern analysis, updated material on multi-layer perceptrons and dynamic systems.

Books for People with Print Disabilities. Internet Archive Books. Uploaded by Lotu Tii on September 19, 2012.

Neural Computing - An Introduction. Neural Computing is easy on the eye with a good layout and use of graphical icons to draw attention to mathematical proofs, algorithms (in clear format, which would lend itself to computer implementation), and summary sections. Denise Gorse, Times Higher Education Supplement. I was most impressed with the quality of this book. hard pressed to bea. -David Williams, The Australian Computer Journal. It is clear that any introductory book must explain what the leaders of the current revival have done.

This easy-to-read account of neural networks introduces the central ideas involved in neural networks. It includes new material on recent developments in neural networks, such as neurocontrol, pattern analysis, updated material on multi-layer perceptrons and dynamic systems. And it is accessible to readers not familiar with formal mathematical languages.
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