Idioma: Inglés
Publicado por Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2010
ISBN 10: 3642158242 ISBN 13: 9783642158247
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 69,90
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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 1518, 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 signalsmaybesenttootherunitsalongconnectionsknownasweightsth atexcite 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. 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 1518, 2010. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2010
ISBN 10: 3642158242 ISBN 13: 9783642158247
Librería: Revaluation Books, Exeter, Reino Unido
EUR 83,86
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 2010 edition. 596 pages. 9.50x6.00x1.25 inches. In Stock.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 3642158242 ISBN 13: 9783642158247
Librería: moluna, Greven, Alemania
EUR 65,26
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New. Fast track conference proceedingUnique visibilityState-of-the-art researchth 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- salon.
Idioma: Inglés
Publicado por Springer, Berlin, Springer, 2010
ISBN 10: 3642158242 ISBN 13: 9783642158247
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,76
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 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 signalsmaybesenttootherunitsalongconnectionsknownasweightstha texcite 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.
Librería: Buchpark, Trebbin, Alemania
EUR 64,00
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Seiten: 575 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.