66 search results - page 9 / 14 » Learning Precise Timing with LSTM Recurrent Networks |
112
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EUSFLAT
2009
14 years 9 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 5 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 11 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...
94
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NN
2007
Springer
14 years 11 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...
112
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IDA
1998
Springer
14 years 11 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...