Neurocomputing Appliances

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Neurocomputing appliances:

Theory and practice

The book in an accessible form sets out the basis for constructing neural computers. The structure of neural networks and algorithms for their various settings. Separate chapters are devoted to the implementation of neural networks.

For experts in the field of computer technology, as well as students of relevant specialties.

Additional information


What is artificial neural networks? What can they do? How do they work? How can they be used? These and many similar questions asked experts from different fields. Find a plausible answer is not easy. Few university courses and seminars are too expensive, and relevant literature is too vast and is specialized. Preparing to print excellent books may discourage beginners. Often written in technical jargon, many of them require fluency in sections of higher mathematics is rarely used in other areas.

This book is a systematic introductory course for professionals who do not specialize in mathematics. All the important concepts first formulated in ordinary language. Mathematical calculations are used, if they make the presentation clearer. At the end of chapters are placed complex findings and evidence, as well as links to other works. These references constitute the vast bibliography of works in the most important areas related to artificial neural networks. This layered approach not only provides the reader with an overview of artificial neural networks, but also allows interested parties seriously and further explore the subject.


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