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» The Recurrent Control Neural Network
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ICMLA
2010
14 years 7 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
CDC
2008
IEEE
228views Control Systems» more  CDC 2008»
15 years 4 months ago
Stability analysis for neural networks with time-varying delay
— This paper studies the problem of stability analysis for neural networks (NNs) with a time-varying delay. The activation functions are assumed to be neither monotonic, nor diff...
Xun-Lin Zhu, Guang-Hong Yang
IJCAI
2007
14 years 11 months ago
A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation
Semantic systems for the representation of declarative knowledge are usually unconnected to neurobiological mechanisms in the brain. In this paper we report on efforts to bridge t...
Florian Röhrbein, Julian Eggert, Edgar Kö...
ESANN
2008
14 years 11 months ago
A multiple testing procedure for input variable selection in neural networks
In this paper a novel procedure to select the input nodes in neural network modeling is presented and discussed. The approach is developed in a multiple testing framework and so it...
Michele La Rocca, Cira Perna
CDC
2009
IEEE
166views Control Systems» more  CDC 2009»
15 years 2 months ago
Composite adaptation for neural network-based controllers
—With the motivation of using more information to update the parameter estimates to achieve improved tracking performance, composite adaptation that uses both the system tracking...
Parag M. Patre, Shubhendu Bhasin, Zachary D. Wilco...