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Published by Springer Nature Singapore, Springer Nature Singapore Jan 2017, 2017
ISBN 10: 9811036101 ISBN 13: 9789811036101
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Taschenbuch. Condition: Neu. Neuware -The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 552 pp. Englisch.
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Published by Springer Nature Singapore, Springer Nature Singapore Jan 2017, 2017
ISBN 10: 9811036136 ISBN 13: 9789811036132
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 560 pp. Englisch.
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Published by Springer-Verlag New York Inc, 2017
ISBN 10: 9811036101 ISBN 13: 9789811036101
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Paperback. Condition: Brand New. 552 pages. 9.25x6.10x1.25 inches. In Stock.
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Published by Springer-Verlag New York Inc, 2017
ISBN 10: 9811036136 ISBN 13: 9789811036132
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Published by Springer Nature Singapore, Springer Nature Singapore, 2017
ISBN 10: 9811036101 ISBN 13: 9789811036101
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections onDNA Computing;Membrane Computing;Neural Computing;Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing;Multi-objective Optimization;Pattern Recognition; Others.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2017
ISBN 10: 9811036136 ISBN 13: 9789811036132
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections onDNA Computing;Membrane Computing;Neural Computing;Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing;Multi-objective Optimization;Pattern Recognition; Others.
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Condition: New. pp. 368 Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.
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Hardcover. Condition: Brand New. 355 pages. 9.50x6.50x1.00 inches. In Stock.
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Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319857983 ISBN 13: 9783319857985
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book thoroughly investigates the underlying theoretical basis of membrane computing models, and reveals their latest applications. In addition, to date there have been no illustrative case studies or complex real-life applications that capitalize on the full potential of the sophisticated membrane systems computational apparatus; gaps that this book remedies. By studying various complex applications - including engineering optimization, power systems fault diagnosis, mobile robot controller design, and complex biological systems involving data modeling and process interactions - the book also extends the capabilities of membrane systems models with features such as formal verification techniques, evolutionary approaches, and fuzzy reasoning methods. As such, the book offers a comprehensive and up-to-date guide for all researchers, PhDs and undergraduate students in the fields of computer science, engineering and the bio-sciences who are interested in the applications of natural computing models.