Robert Schaefer: Artificial Neural Networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I - neues Buch
2010, ISBN: 9783642158193
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September … Mehr…
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15-18, 2010.ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS).This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas.As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe.Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs).ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons).Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one.Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated.ANNs have the ability "to learn" by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.; PDF; Computing > Computer science > Artificial intelligence, Springer Berlin Heidelberg<
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ICANN 2010: Artificial Neural Networks - neues Buch
2010, ISBN: 9783642158193
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September … Mehr…
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters., Springer<
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Artificial Neural Networks - ICANN 2010 - neues Buch
2010, ISBN: 9783642158193
*Artificial Neural Networks - ICANN 2010* - 20th International Conference Thessaloniki Greece September 15-18 2010 Proceedings Part I / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Sa… Mehr…
*Artificial Neural Networks - ICANN 2010* - 20th International Conference Thessaloniki Greece September 15-18 2010 Proceedings Part I / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBooks > Sachthemen & Ratgeber > Computer & Internet, Springer-Verlag GmbH<
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Guang Chen: Artificial Neural Networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I - neues Buch
Artificial Neural Networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I - neues Buch
2010, ISBN: 9783642158193
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September … Mehr…
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15-18, 2010.ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS).This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas.As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe.Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs).ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons).Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one.Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated.ANNs have the ability "to learn" by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.; PDF; Computing > Computer science > Artificial intelligence, Springer Berlin Heidelberg<
No. 9783642158193. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September … Mehr…
th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters., Springer<
Nr. 978-3-642-15819-3. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00)
Artificial Neural Networks - ICANN 2010 - neues Buch
2010
ISBN: 9783642158193
*Artificial Neural Networks - ICANN 2010* - 20th International Conference Thessaloniki Greece September 15-18 2010 Proceedings Part I / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Sa… Mehr…
*Artificial Neural Networks - ICANN 2010* - 20th International Conference Thessaloniki Greece September 15-18 2010 Proceedings Part I / pdf eBook für 96.49 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook als pdf eBooks > Sachthemen & Ratgeber > Computer & Internet, Springer-Verlag GmbH<
9783642158193. Versandkosten:In stock (Download), , Versandkostenfrei nach Hause oder Express-Lieferung in Ihre Buchhandlung., DE. (EUR 0.00)
Guang Chen: Artificial Neural Networks - ICANN 2010 : 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I - neues Buch
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Buch in der Datenbank seit 2017-04-19T00:03:03+02:00 (Zurich) Detailseite zuletzt geändert am 2024-02-28T17:59:35+01:00 (Zurich) ISBN/EAN: 9783642158193
ISBN - alternative Schreibweisen: 978-3-642-15819-3 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: duc Titel des Buches: thessaloniki, neural networks, art
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Autor/in: Konstantinos Diamantaras; Wlodek Duch; Lazaros S. Iliadis Titel: Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I Verlag: Springer; Springer Berlin 587 Seiten Erscheinungsjahr: 2010-09-13 Berlin; Heidelberg; DE Sprache: Englisch 96,29 € (DE) 99,00 € (AT) 118,00 CHF (CH) Available XXXI, 587 p. 227 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; CUDA; EEG; Hidden Markov Model; Markov Model; algorithms; artificial intelligence; bayesian neural networks; biomedical neural networks; biometrics; brain-computer interfaces; classification; computational neuroscience; dimensionality reduction; evolutionary algorithm; filtering; algorithm analysis and problem complexity; C; Artificial Intelligence; Theory of Computation; Algorithms; Automated Pattern Recognition; Computer and Information Systems Applications; Computer Vision; Computer Science; Theoretische Informatik; Algorithmen und Datenstrukturen; Mustererkennung; Angewandte Informatik; Maschinelles Sehen, Bildverstehen; BC
ANN Applications.- Bayesian ANN.- Bio Inspired – Spiking ANN.- Biomedical ANN.- Computational Neuroscience.- Feature Selection/Parameter Identification and Dimensionality Reduction.- Filtering.- Genetic – Evolutionary Algorithms.- Image – Video and Audio Processing. Fast track conference proceeding Unique visibility State of the art research
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