66 search results - page 9 / 14 » Learning Precise Timing with LSTM Recurrent Networks |
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EUSFLAT
2009
14 years 7 months ago
2009
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...
IPSN
2004
Springer
15 years 2 months ago
2004
Springer
The performance of a sensor network may be best judged by the quality of application specific information return. The actual sensing performance of a deployed sensor network depe...
AR
2007
14 years 9 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
NN
2007
Springer
14 years 9 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
IDA
1998
Springer
14 years 9 months ago
1998
Springer
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...