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ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
15 years 10 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
15 years 10 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...
160
Voted
NN
2000
Springer
150views Neural Networks» more  NN 2000»
15 years 6 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
137
Voted
CODES
2000
IEEE
15 years 10 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
15 years 10 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