2013, ISBN: 9783790824834
Springer, Taschenbuch, Auflage: Softcover reprint of the original 1st ed. 2001, 384 Seiten, Publiziert: 2013-10-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 109 black & white illust… More...
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2013, ISBN: 9783790824834
Springer, Taschenbuch, Auflage: Softcover reprint of the original 1st ed. 2001, 384 Seiten, Publiziert: 2013-10-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 109 black & white illust… More...
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2013, ISBN: 9783790824834
Springer, Taschenbuch, Auflage: Softcover reprint of the original 1st ed. 2001, 384 Seiten, Publiziert: 2013-10-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 109 black & white illust… More...
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2011, ISBN: 3790824836
Softcover reprint of the original 1st ed. 2001 Kartoniert / Broschiert Künstliche Intelligenz, neuralnetworks; RBF; algorithms; biomedicalengineering; classification; Cognition; Control… More...
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ISBN: 9783790824834
Paperback, [PU: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG], The Radial Basis Function (RBF) network has gained in popularity in recent years. The two-title series Theory and App… More...
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Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing, 67, Band 67) - Paperback
2013, ISBN: 9783790824834
Springer, Taschenbuch, Auflage: Softcover reprint of the original 1st ed. 2001, 384 Seiten, Publiziert: 2013-10-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 109 black & white illust… More...
2013, ISBN: 9783790824834
Springer, Taschenbuch, Auflage: Softcover reprint of the original 1st ed. 2001, 384 Seiten, Publiziert: 2013-10-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 109 black & white illust… More...
2013
ISBN: 9783790824834
Springer, Taschenbuch, Auflage: Softcover reprint of the original 1st ed. 2001, 384 Seiten, Publiziert: 2013-10-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 109 black & white illust… More...
2011, ISBN: 3790824836
Softcover reprint of the original 1st ed. 2001 Kartoniert / Broschiert Künstliche Intelligenz, neuralnetworks; RBF; algorithms; biomedicalengineering; classification; Cognition; Control… More...
ISBN: 9783790824834
Paperback, [PU: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG], The Radial Basis Function (RBF) network has gained in popularity in recent years. The two-title series Theory and App… More...
Bibliographic data of the best matching book
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Details of the book - Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing, 67, Band 67)
EAN (ISBN-13): 9783790824834
ISBN (ISBN-10): 3790824836
Paperback
Publishing year: 2011
Publisher: Howlett, Robert J. Springer
384 Pages
Weight: 0,579 kg
Language: eng/Englisch
Book in our database since 2011-03-02T22:33:12+00:00 (London)
Detail page last modified on 2023-04-09T16:32:22+01:00 (London)
ISBN/EAN: 9783790824834
ISBN - alternate spelling:
3-7908-2483-6, 978-3-7908-2483-4
Alternate spelling and related search-keywords:
Book author: robert howlett, jain
Book title: design radial, radial basis function networks, rad
Information from Publisher
Author: Robert J. Howlett; Lakhmi C. Jain
Title: Studies in Fuzziness and Soft Computing; Radial Basis Function Networks 2 - New Advances in Design
Publisher: Physica; Physica
360 Pages
Publishing year: 2011-03-27
Heidelberg; DE
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XIX, 360 p.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Neural Networks; RBF; Radial Basis Function; algorithms; biomedical engineering; classification; cognition; control; gesture recognition; online; proving; robot; robotics; Artificial Intelligence; Automated Pattern Recognition; Mustererkennung; BB
contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers.Contains a wide range of applications in the laboratory and case studies describing current use Overall view of the methods used for the genetic optimization of artificial neural networks and presentation of the inherent problems Includes supplementary material: sn.pub/extras
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