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Specifications
Publisher
Springer
Language
English
ISBN-13
9783642175367
ISBN-10
3642175368
Author
Kevin K. W. Wong | B. Sumudu U. Mendis | Abdesselam Bouzerdoum
Product Description
About the Book
The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, a…
ISBN: 9783642175367
Book Insights
What You'll Learn
·In-depth exploration of topics covered in Neural Information Processing. Theory and Algorithms
·Key concepts explained with clarity and practical examples
·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
·Brand new physical book delivered across India
·15-day hassle-free return policy
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Neural Information Processing. Theory and Algorithms is authored by Kevin K. W. Wong | B. Sumudu U. Mendis | Abdesselam Bouzerdoum.
Who published Neural Information Processing. Theory and Algorithms?
Neural Information Processing. Theory and Algorithms is published by Springer.
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Page count information for Neural Information Processing. Theory and Algorithms is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Neural Information Processing. Theory and Algorithms takes a few hours to a few days depending on reading pace.
What is Neural Information Processing. Theory and Algorithms about?
About the Book
The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from ...
Is Neural Information Processing. Theory and Algorithms suitable for beginners?
Whether Neural Information Processing. Theory and Algorithms is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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