A Learning Algorithm for Continually Running Fully Recurrent Neural Networks (1989)

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by Ronald J. Williams , David Zipser
Citations:413 - 4 self

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115 Gradient-Based Learning Algorithms for Recurrent Networks and Their Computational Complexity – Ronald J. Williams, David Zipser - 1995
9 Adaptive State Representation and Estimation Using Recurrent Connectionist Networks – Ronald Williams - 1990
2 Dynamic Recurrent Neural Networks: a Dynamical Analysis – Jean-Philippe Draye, Davor Pavisic, Guy Cheron, Gaëtan Libert - 1996
6 A General Feed-Forward Algorithm for Gradient Descent in Connectionist Networks – Sebastian Thrun, Frank Smieja, Sebastian Thrun \delta Frank, Sebastian Thrun \delta Frank - 1990
33 New Results on Recurrent Network Training: Unifying the Algorithms and Accelerating Convergence – Amir F. Atiya, Alexander G. Parlos - 2000
106 Neural Net Architectures for Temporal Sequence Processing – Michael C. Mozer - 1994
10 On Planning And Exploration In Non-Discrete Environments – Sebastian B. Thrun, Knut Möller - 1991
5 Introduction to Neural Networks – Jiri Sima - 1998
6 New millennium AI and the convergence of history – Jürgen Schmidhuber - 2007
1 LATENT ATTRACTORS: A GENERAL PARADIGM FOR CONTEXT-DEPENDENT NEURAL COMPUTATION – Simona Doboli, Ali A. Minai
17 On-Line Learning Algorithms for Locally Recurrent Neural Networks – Paolo Campolucci, Aurelio Uncini, Francesco Piazza, Bhaskar D. Rao - 1999
An Investigation of the Gradient Descent Process in Neural Networks – Barak A. Pearlmutter - 1996
135 Gradient calculation for dynamic recurrent neural networks: a survey – Barak A. Pearlmutter - 1995
1 Recurrent Neural Networks for Adaptive Temporal Processing – Yoshua Bengio, Paolo Frasconi, Marco Gori - 1993
4 Using Recurrent Networks for Dimensionality Reduction – Michael J. Jones - 1992
Genetic Synthesis of Recurrent Neural Networks – Syed
6 Modeling Dynamical Systems with Recurrent Neural Networks – Fu-Sheng Tsung - 1994
214 The induction of dynamical recognizers – Jordan B. Pollack - 1991
ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY. I: PRELIMINARY CONCEPTS – n.n.