Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4668)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: ICANN 2007.
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Table of contents (98 papers)
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Learning Theory
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Advances in Neural Network Learning Methods
Other volumes
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Artificial Neural Networks – ICANN 2007
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Artificial Neural Networks – ICANN 2007
Keywords
About this book
This two volume set LNCS 4668 and LNCS 4669 constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, in September 2007.
The 197 revised full papers presented were carefully reviewed and selected from 376 submissions. The 98 papers of the first volume are organized in topical sections on learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.
Bibliographic Information
Book Title: Artificial Neural Networks - ICANN 2007
Book Subtitle: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I
Editors: Joaquim Marques Sá, Luís A. Alexandre, Włodzisław Duch, Danilo Mandic
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-74690-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Softcover ISBN: 978-3-540-74689-8Published: 30 August 2007
eBook ISBN: 978-3-540-74690-4Published: 14 September 2007
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXI, 980
Topics: Artificial Intelligence, Computation by Abstract Devices, Pattern Recognition, Information Systems Applications (incl. Internet), Database Management, Neurosciences