Artificial Neural Networks - neues Buch
2001, ISBN: 9783319099026
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includ… Mehr…
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Artificial Neural Networks - neues Buch
2001, ISBN: 9783319099026
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includ… Mehr…
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Artificial Neural Networks - gebunden oder broschiert
2013, ISBN: 9783319099026
Hardback, [PU: Springer International Publishing AG], The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It in… Mehr…
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2014, ISBN: 3319099027
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the bes… Mehr…
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2013, ISBN: 9783319099026
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the bes… Mehr…
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Artificial Neural Networks - neues Buch
2001, ISBN: 9783319099026
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includ… Mehr…
Petia Koprinkova-Hristova:
Artificial Neural Networks - neues Buch2001, ISBN: 9783319099026
[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includ… Mehr…
Artificial Neural Networks - gebunden oder broschiert
2013
ISBN: 9783319099026
Hardback, [PU: Springer International Publishing AG], The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It in… Mehr…
2014, ISBN: 3319099027
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the bes… Mehr…
2013, ISBN: 9783319099026
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the bes… Mehr…
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The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.
Detailangaben zum Buch - Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics
EAN (ISBN-13): 9783319099026
ISBN (ISBN-10): 3319099027
Gebundene Ausgabe
Erscheinungsjahr: 2014
Herausgeber: Springer International Publishing
Buch in der Datenbank seit 2014-10-10T07:00:31+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-01-10T11:55:06+01:00 (Berlin)
ISBN/EAN: 9783319099026
ISBN - alternative Schreibweisen:
3-319-09902-7, 978-3-319-09902-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: kop, mladenov, boltzmann, international group control, valeri
Titel des Buches: art net, neural networks, artificial
Daten vom Verlag:
Autor/in: Petia Koprinkova-Hristova; Valeri Mladenov; Nikola K. Kasabov
Titel: Springer Series in Bio-/Neuroinformatics; Artificial Neural Networks - Methods and Applications in Bio-/Neuroinformatics
Verlag: Springer; Springer International Publishing
488 Seiten
Erscheinungsjahr: 2014-09-11
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
IX, 488 p. 168 illus., 98 illus. in color.
BB; Hardcover, Softcover / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; ANN in bioinformatics; ANN in neuroinformatics; Dynamic neural networks; Embodied models; Gesture recognition; ICANN 2013; Recurrent neural networks; SVMs; Time series data; Time-dependent learning; Computational Intelligence; Computational and Systems Biology; Control and Systems Theory; Neuroscience; DV-gestützte Biologie/Bioinformatik; Regelungstechnik; Neurowissenschaften; EA; BC
The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.Presents the latest research on artificial neural networks Gives emphasis to neural networks and machine learning topics in bio-neuroinformatics Edited and written by experts in the field
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