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» Extensions of recurrent neural network language model
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CCE
2008
13 years 10 months ago
Differential recurrent neural network based predictive control
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
R. K. Al Seyab, Yi Cao
ICONIP
2007
13 years 11 months ago
RNN with a Recurrent Output Layer for Learning of Naturalness
– The behavior of recurrent neural networks with a recurrent output layer (ROL) is described mathematically and it is shown that using ROL is not only advantageous, but is in fac...
Ján Dolinský, Hideyuki Takagi
NN
1998
Springer
112views Neural Networks» more  NN 1998»
13 years 10 months ago
Continuous attractors and oculomotor control
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
H. Sebastian Seung
TNN
2010
121views Management» more  TNN 2010»
13 years 5 months ago
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
Zhang Yi
ESANN
2003
13 years 11 months ago
Mathematical Aspects of Neural Networks
In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
Barbara Hammer, Thomas Villmann