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82
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NN
2007
Springer
14 years 11 months ago
Recurrent neural network modeling of nearshore sandbar behavior
The temporal evolution of nearshore sandbars (alongshore ridges of sand fringing coasts in water depths less than 10 m and of paramount importance for coastal safety) is commonly ...
Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ia...
93
Voted
NN
2000
Springer
150views Neural Networks» more  NN 2000»
14 years 11 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
80
Voted
NIPS
1994
15 years 29 days ago
An Input Output HMM Architecture
We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
Yoshua Bengio, Paolo Frasconi
ICONIP
2004
15 years 1 months ago
A Neural Network Model for Trace Conditioning
We studied the dynamics of a neural network which have both of recurrent excitatory and random inhibitory connections. Neurons started to become active when a relatively weak trans...
Tadashi Yamazaki, Shigeru Tanaka
77
Voted
ICMLA
2004
15 years 1 months ago
Prediction of dynamic forces on lumbar joint using a recurrent neural network model
Yanfeng Jou, Jacek M. Zurada, Waldemar Karwowski