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» The Recurrent Control Neural Network
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NN
2007
Springer
162views Neural Networks» more  NN 2007»
14 years 9 months ago
Learning grammatical structure with Echo State Networks
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...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
ESANN
2004
14 years 11 months ago
A sliding mode controller using neural networks for robot manipulator
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
Hajoon Lee, Dongkyung Nam, Cheol Hoon Park
WCE
2007
14 years 11 months ago
Neural Networks for Optimal Control of Aircraft Landing Systems
Abstract—In this work we present a variational formulation for a multilayer perceptron neural network. With this formulation any learning task for the neural network is defined ...
Kevin Lau, Roberto Lopez, Eugenio Oñate
JUCS
2007
208views more  JUCS 2007»
14 years 9 months ago
The Architecture and Circuital Implementation Scheme of a New Cell Neural Network for Analog Signal Processing
: It is a difficult problem that using cellular neural network to make up of analog signal processing circuit. This paper presented the architecture of new cellular neural network ...
Youren Wang, Zhiqiang Zhang, Jiang Cui
IJCNN
2006
IEEE
15 years 3 months ago
Anti-swing control for overhead crane with neural compensation
— This paper considers the problem of PD control of overhead crane in the presence of uncertainty associated with crane dynamics. By using radial basis function neural networks, ...
Rigoberto Toxqui Toxqui, Wen Yu, Xiaoou Li