2010, ISBN: 9783642158186

th This volume is part of the three-volume proceedings of the 20 International Conference on Artificial 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 Artificial 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 field 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. Itofferedagoodchanceto discussthe latest advances of research and also all the developments and applications in the area of Artificial 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 signals maybe sent too the runits along connections known as weights that excite 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. Trade Books>Trade Paperback>Technology>Xxxsoftware Engr>* Desc Unknown, Springer Berlin Heidelberg Core >1<

2010, ISBN: 9783642158186

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<

2010, ISBN: 3642158188

2010 Kartoniert / Broschiert Algorithmus, Bildbearbeitung, Bildverarbeitung, Grafik (EDV) / Bildverarbeitung, Informationssystem, Intelligenz / Künstliche Intelligenz, KI, Künstliche In… Mehr…

2010 Kartoniert / Broschiert Algorithmus, Bildbearbeitung, Bildverarbeitung, Grafik (EDV) / Bildverarbeitung, Informationssystem, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Mathematik, Mustererkennung, Algorithmen und Datenstrukturen, Angewandte Informatik, Theoretische Informatik, Künstliche Intelligenz, Maschinelles Sehen, Bildverstehen, CUDA; EEG; hiddenmarkovmodel; Markovmodel; algorithms; ArtificialIntelligence; BayesianNeuralNetworks; biomedicalneuralnetworks; Biometrics; Brain-Computerinterfaces; classification; computationalneuroscience; DimensionalityReduction; evolutionaryalgorithm; filtering; algorithmanalysisandproblemcomplexity, mit Schutzumschlag 11, [PU:Springer Berlin Heidelberg; Springer-Verlag GmbH]<