Statistical mechanics of learning /
Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and...
| Основен автор: | Engel, A. 1957- |
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| Други автори: | Broeck, C. van den 1954- |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Cambridge, UK ; New York, NY :
Cambridge University Press,
2001.
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| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=78327 |
| Подобни документи: |
Print version::
Statistical mechanics of learning. |
| Резюме: |
Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and exercises, making it ideal for courses, self-teaching, or reference. |
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| Физически характеристики: |
1 online resource (xi, 329 pages) : illustrations |
| Библиография: |
Includes bibliographical references (pages 313-325) and index. |
| ISBN: |
051102021X 9780511020216 9781139164542 1139164546 0511148054 9780511148057 9780511049828 051104982X |