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A field guide to dynamical recurrent networks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A field guide to dynamical recurrent networks/ edited by John F. Kolen, Stefan C. Kremer.
其他題名:	Dynamical recurrent networks
其他作者:	Kolen, John F.,
出版者:	New York :IEEE Press, : c2001.,
面頁冊數:	1 online resource (xxx, 421 p.) :ill. :
附註:	"IEEE order no. PC5809"--T.p. verso.
標題:	Neural networks (Computer science) -
電子資源:	http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263132
ISBN:	9780470544037

A field guide to dynamical recurrent networks
A field guide to dynamical recurrent networks[electronic resource] /Dynamical recurrent networksedited by John F. Kolen, Stefan C. Kremer. - New York :IEEE Press,c2001. - 1 online resource (xxx, 421 p.) :ill.

"IEEE order no. PC5809"--T.p. verso.

Includes bibliographical references (p. 379-408) and index.

Introduction --John F. Kolen and Stefan C. Kremer --

ISBN: 9780470544037

Source: 9780470544037IEEEhttp://ieeexplore.ieee.orgSubjects--Topical Terms:

528588
Neural networks (Computer science)
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA76.87 / .F54 2001

Dewey Class. No.: 006.3/2

A field guide to dynamical recurrent networks
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260 $a New York : $b IEEE Press, $c c2001.
300 $a 1 online resource (xxx, 421 p.) : $b ill.
500 $a "IEEE order no. PC5809"--T.p. verso.
504 $a Includes bibliographical references (p. 379-408) and index.
505 0 0 $t Introduction -- $t Dynamical recurrent networks / $r John F. Kolen and Stefan C. Kremer -- $t Architectures -- $t Networks with adaptive state transitions / $r David Calvert and Stefan C. Kremer -- $t Delay networks: buffers to the rescue / $r Tsung-Nan Lin and C. Lee Giles -- $t Memory Kernels / $r Ah Chung Tsoi, Andrew Back, Jos�e Principe, and Mike Mozer -- $t Capabilities -- $t Dynamical systems and iterated function systems / $r John F. Kolen -- $t Representation of discrete states / $r C. Lee Giles and Christian Omlin -- $t Simple stable encodings of finite-state machines in dynamic recurrent networks / $r Mikel L. Forcada and Raphael C. Carrasco -- $t Representation beyond finite states: alternatives to pushdown automata / $r Janet Wiles, Alan D. Blair, and Mikael Bod�en -- $t Universal computation and super-turing capabilities / $r Hava T. Siegelmann -- $t Algorithms -- $t Insertion of prior knowledge / $r Paolo Frasconi ... [et al.] -- $t Gradient calculations for dynamic recurrent neural networks / $r Barak A. Pearlmutter -- $t Understanding and explaining DRN behavior / $r Christian Omlin -- $t Limitations -- $t Evaluating benchmark problems by random guessing / $r J�urgen Schmidhuber, Sepp Hochreiter, and Yoshua Bengio -- $t Gradient flow in recurrent nets: the difficulty of learning long-term dependencies / $r Sepp Hochreiter ... [et al.] -- $t Limiting the computational power of recurrent neural networks: VC dimension and noise / $r Christopher Moore -- $t Applications -- $t Dynamical recurrent networks in control / $r Danil V. Prokhorov, Gintaras V. Puskorius, and Lee A. Feldkamp -- $t Sentence processing and linguistic structure / $r Whitney Tabor -- $t Neural network architectures for the modeling of dynamic system / $r Hans-Georg Zimmermann and Ralph Neuneier -- $t From sequences to data structures: theory and applications / $r Paolo Frasconi ... [et al.] -- $t Conclusion -- $t Dynamical recurrent networks: looking back and looking forward / $r Stefan C. Kremer and John F. Kolen.
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