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Kolen, John F.
[Sonstige Person, Familie und Körperschaft];
Kremer, Stefan C.
[Sonstige Person, Familie und Körperschaft]
A field guide to dynamical recurrent networks
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- Medientyp: E-Book
- Titel: A field guide to dynamical recurrent networks
-
Enthält:
Introduction ; Dynamical recurrent networks
/ John F. Kolen and Stefan C. Kremer
Architectures ; Networks with adaptive state transitions / David Calvert and Stefan C. Kremer
Delay networks: buffers to the rescue / Tsung-Nan Lin and C. Lee Giles
Memory Kernels / Ah Chung Tsoi, Andrew Back, José Principe, and Mike Mozer
Capabilities ; Dynamical systems and iterated function systems / John F. Kolen
Representation of discrete states / C. Lee Giles and Christian Omlin
Simple stable encodings of finite-state machines in dynamic recurrent networks / Mikel L. Forcada and Raphael C. Carrasco
Representation beyond finite states: alternatives to pushdown automata / Janet Wiles, Alan D. Blair, and Mikael Bodén
Universal computation and super-turing capabilities / Hava T. Siegelmann
Algorithms ; Insertion of prior knowledge / Paolo Frasconi ... [et al.]
Gradient calculations for dynamic recurrent neural networks / Barak A. Pearlmutter
Understanding and explaining DRN behavior / Christian Omlin
Limitations ; Evaluating benchmark problems by random guessing / Jürgen Schmidhuber, Sepp Hochreiter, and Yoshua Bengio
Gradient flow in recurrent nets: the difficulty of learning long-term dependencies / Sepp Hochreiter ... [et al.]
Limiting the computational power of recurrent neural networks: VC dimension and noise / Christopher Moore
Applications ; Dynamical recurrent networks in control / Danil V. Prokhorov, Gintaras V. Puskorius, and Lee A. Feldkamp
Sentence processing and linguistic structure / Whitney Tabor
Neural network architectures for the modeling of dynamic system / Hans-Georg Zimmermann and Ralph Neuneier
From sequences to data structures: theory and applications / Paolo Frasconi ... [et al.]
Conclusion ; Dynamical recurrent networks: looking back and looking forward / Stefan C. Kremer and John F. Kolen.
- Beteiligte: Kolen, John F. [Sonstige Person, Familie und Körperschaft]; Kremer, Stefan C. [Sonstige Person, Familie und Körperschaft]
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Erschienen:
New York: IEEE Press, c2001
Online-Ausg., Piscataway, N.J: IEEE, 2010
- Erschienen in: IEEE Xplore Digital Library
- Umfang: Online Ressource (xxx, 421 p.); ill
- Sprache: Englisch
- ISBN: 9780470544037; 0470544031
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Schlagwörter:
Rekursives neuronales Netz
- Art der Reproduktion: Online-Ausg.
- Hersteller der Reproduktion: Piscataway, N.J: IEEE, 2010
- Reproduktionsnotiz: Electronic reproduction; Mode of access: World Wide Web
- Entstehung:
-
Anmerkungen:
"IEEE order no. PC5809"--T.p. verso. - Includes bibliographical references (p. 379-408) and index. - Description based on print version record
Includes bibliographical references (p. 379-408) and index
- Beschreibung: Introduction -- Dynamical recurrent networks John F. Kolen and Stefan C. Kremer -- Architectures -- Networks with adaptive state transitions David Calvert and Stefan C. Kremer -- Delay networks: buffers to the rescue Tsung-Nan Lin and C. Lee Giles -- Memory Kernels Ah Chung Tsoi, Andrew Back, José Principe, and Mike Mozer -- Capabilities -- Dynamical systems and iterated function systems John F. Kolen -- Representation of discrete states C. Lee Giles and Christian Omlin -- Simple stable encodings of finite-state machines in dynamic recurrent networks Mikel L. Forcada and Raphael C. Carrasco -- Representation beyond finite states: alternatives to pushdown automata Janet Wiles, Alan D. Blair, and Mikael Bodén -- Universal computation and super-turing capabilities Hava T. Siegelmann -- Algorithms -- Insertion of prior knowledge Paolo Frasconi ... [et al.] -- Gradient calculations for dynamic recurrent neural networks Barak A. Pearlmutter -- Understanding and explaining DRN behavior Christian Omlin -- Limitations -- Evaluating benchmark problems by random guessing Jürgen Schmidhuber, Sepp Hochreiter, and Yoshua Bengio -- Gradient flow in recurrent nets: the difficulty of learning long-term dependencies Sepp Hochreiter ... [et al.] -- Limiting the computational power of recurrent neural networks: VC dimension and noise Christopher Moore -- Applications -- Dynamical recurrent networks in control Danil V. Prokhorov, Gintaras V. Puskorius, and Lee A. Feldkamp -- Sentence processing and linguistic structure Whitney Tabor -- Neural network architectures for the modeling of dynamic system Hans-Georg Zimmermann and Ralph Neuneier -- From sequences to data structures: theory and applications Paolo Frasconi ... [et al.] -- Conclusion -- Dynamical recurrent networks: looking back and looking forward Stefan C. Kremer and John F. Kolen