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Backpropagation through time
Known as:
BPTT
Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train…
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Related topics
Related topics
8 relations
Backpropagation
Backpropagation through structure
Evolutionary programming
Gradient
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2007
2007
Practical Recurrent Learning (PRL) in the Discrete Time Domain
M. Samsudin
,
Takeshi Hirose
,
K. Shibata
International Conference on Neural Information…
2007
Corpus ID: 2070371
One of the authors has proposed a simple learning algorithm for recurrent neural networks, which requires computational cost and…
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2006
2006
Linguistic information feedforward-based dynamical fuzzy systems
X. Gao
,
S. Ovaska
IEEE Transactions on Systems Man and Cybernetics…
2006
Corpus ID: 32799461
In this paper, we first propose a linguistic information feedforward-based dynamical fuzzy system (LIFFDFS) in which the past…
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2006
2006
GAUSSIAN MIXTURE MODEL BASED SYSTEM IDENTIFICATION AND CONTROL
J. Lan
2006
Corpus ID: 124529077
of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the…
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2004
2004
Recurrent Neural Networks and Pitch Representations for Music Tasks
J. Franklin
The Florida AI Research Society
2004
Corpus ID: 5859945
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a…
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2003
2003
Modelling the glucose metabolism with backpropagation through time trained Elman nets
E. Teufel
,
M. Kletting
,
W. Teich
,
H. Pfleiderer
,
C. Tarin-Sauer
IEEE XIII Workshop on Neural Networks for Signal…
2003
Corpus ID: 26301161
Type-I diabetes mellitus patients can not produce the hormone insulin endogenously. As this hormone is necessary to control the…
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2002
2002
Intelligent locomotion control on sloping surfaces
J. Juang
Information Sciences
2002
Corpus ID: 10760584
1996
1996
Gait synthesis of a biped robot using backpropagation through time algorithm
J. Juang
,
Chun-Shin Lin
International Conference on Neural Networks
1996
Corpus ID: 61450688
A neural network architecture is developed for the gait synthesis of a five-link biped walking robot. The learning scheme uses a…
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1994
1994
Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity
F. Beaufays
,
E. Wan
Neural Computation
1994
Corpus ID: 207586165
We show that signal flow graph theory provides a simple way to relate two popular algorithms used for adapting dynamic neural…
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1994
1994
Improvement of Learning in Recurrent Networks by Substituting the Sigmoid Activation Function
J. Sopena
,
R. Alquézar
1994
Corpus ID: 63360073
Several recurrent network architectures have been devised in recent years to deal with sequential tasks. One such model is the…
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1993
1993
Backpropagation through time with fixed memory size requirements
J. Príncipe
,
J. Kuo
,
B. de Vries
Neural Networks for Signal Processing III…
1993
Corpus ID: 15497876
A generalization of the backpropagation through time (BPTT) algorithm is presented, which, under reasonable assumptions, can lead…
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