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出版日:2019/04/17 作者:Muhammad Salman Khan (EDT)  出版社:Information Science Reference  裝訂:精裝
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出版日:2017/08/31 作者:Uri Shafrir; Masha Etkind  出版社:Information Science Reference  裝訂:精裝
Sharfrir and Etkind explore those parts of a universal digital library containing documents that communicate knowledge with controlled vocabularies of sub-languages mostly in the various disciplin
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出版日:2017/06/30 作者:Andrei George Florea; Catalin Buiu  出版社:Information Science Reference  裝訂:精裝
"This book explores membrane computing in the context of the fast developing field of robotics and presents the fundamental concepts of decentralized control, local interaction, stigmergy, and emergin
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出版日:2017/05/31 作者:Srikanta Patnaik (EDT)  出版社:Information Science Reference  裝訂:精裝
Computer scientists describe computing techniques that have been inspired by natural physics, chemistry, biology, and collective intelligence. Their topics include applying an electromagnetism-like
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Outlining recent trends in cybernetics and systems science, contributors in computer science, information technology, and mathematics present expository articles that include a number of open prob
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Researchers in cognitive science, cybernetics, computer science and software engineering, and neuroscience seek to establish anthropic-oriented computing as a new domain that will interest a wide
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出版日:2017/03/10 作者:Shishir K. Shandilya; Smita Shandilya; Kusum Deep; Atulya K. Nagar  出版社:Information Science Reference  裝訂:精裝
Computer and information scientists and electrical engineers review recent developments in soft computing, a collection of imprecision-tolerant techniques that can deal with uncertainty, partial t
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出版日:2017/03/03 作者:Pradeep Kumar; Arvind Tiwari  出版社:Information Science Reference  裝訂:精裝
Computer scientists describe the current understanding and practice of machine learning, both supervised and unsupervised, in a range of fields. They cover mobile vision for a plant biometric syste
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出版日:2017/02/10 作者:N. Suresh Kumar (EDT); Arun Kumar Sangaiah (EDT); M. Arun (EDT); S. Anand (EDT)  出版社:Information Science Reference  裝訂:精裝
Editors Kumar, Sangaiah, Arun, and Anand present readers with a collection of academic essays and scholarly articles focused on contemporary and emerging theory and applications in the field of ad
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出版日:2017/01/05 作者:Deng-feng Li (EDT)  出版社:Information Science Reference  裝訂:精裝
Contributors in a wide range of fields present findings from their original research on integrating fuzzy systems into larger systems. Their topics include interval-valued intuitionist fuzzy multi
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出版日:2016/11/17 作者:Amal Kumar Adak (EDT); Debashree Manna (EDT); Monoranjan Bhowmik (EDT)  出版社:Information Science Reference  裝訂:精裝
Editors Adak, Manna, and Bhowmik present readers with a collection of academic essays and scholarly articles focused on contemporary and emerging mathematical techniques in the fields of applied fu
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出版日:2016/10/30 作者:Mohan S. (EDT); Vani V. (EDT)  出版社:Information Science Reference  裝訂:精裝
"This book is an essential publication outlining the future research opportunities and emerging technologies in the field of image processing, and the ways multi-core processing can further the field"
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出版日:2016/07/22 作者:Eva Volna (EDT); Martin Kotyrba (EDT); Michal Janosek (EDT)  出版社:Information Science Reference  裝訂:精裝
"This book focuses on intelligent methods and techniques for recognizing and storing dynamic patterns, emphasizing topics related to artificial intelligence, pattern management, and algorithm developm
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出版日:2016/05/05 作者:Ming Zhang (EDT)  出版社:Information Science Reference  裝訂:精裝
In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification,
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出版日:2016/03/01 作者:Pratiksha Saxena (EDT); Dipti Singh (EDT); Millie Pant (EDT)  出版社:Information Science Reference  裝訂:精裝
Editors Saxena, Singh, and Pant present readers with a collection of academic essays and scholarly articles focused on the use of contemporary and emerging optimization techniques as solutions for pro
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