Adaptive and Natural Computing Algorithms [electronic resource] : 10th International Conference, ICANNGA 2011, Ljubljana, Slovenia, April 14-16, 2011, Proceedings, Part I / edited by Andrej Dobnikar, Uroš Lotric, Branko Šter.
Contributor(s): Dobnikar, Andrej [editor.]
| Lotric, Uroš [editor.] | Šter, Branko [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 6593Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: XVI, 433 p. 162 illus., 63 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642202827.Subject(s): Computer science | Algorithms | Software engineering | Computer programming | Artificial intelligence | Computer vision | Theory of Computation | Algorithms | Software Engineering | Programming Techniques | Artificial Intelligence | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 004.0151 Online resources: Click here to access online
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Springer Nature eBookSummary: The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first volume includes 42 papers and a plenary lecture and is organized in topical sections on neural networks and evolutionary computation.
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The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first volume includes 42 papers and a plenary lecture and is organized in topical sections on neural networks and evolutionary computation.
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