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ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
14 years 1 months ago
Neural Network Controller for Constrained Robot Manipulators
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
Shenghai Hu, Marcelo H. Ang, Hariharan Krishnan
IJCNN
2000
IEEE
14 years 1 months ago
An Incremental Growing Neural Network and its Application to Robot Control
This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
A. Carlevarino, R. Martinotti, Giorgio Metta, Giul...
NN
2000
Springer
150views Neural Networks» more  NN 2000»
13 years 8 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
CODES
2000
IEEE
14 years 1 months ago
Compaan: deriving process networks from Matlab for embedded signal processing architectures
This paperpresents the Compaantool that automatically transforms a nestedloopprogram written in Matlab into a processnetwork specification. The processnetworkmodelof computation...
Bart Kienhuis, Edwin Rijpkema, Ed F. Deprettere
IJCNN
2000
IEEE
14 years 1 months ago
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
Jani Lahtinen, Tomas Martinsen, Jouko Lampinen