One promising approach to neural network controlled robotics is the use of autoassociative networks. These networks learn to move a sensor and effector vector through a plausible state-space.
An improved autoassociative network for controlling autonomous robots
ISCA 16th International Conference
28.03.2001
Aufsatz (Konferenz)
Keine Angabe
Englisch
Classification by Autoassociative Multilayer Perceptrons
British Library Conference Proceedings | 1994
|Sensor Validation for Turbofan Engines Using an Autoassociative Neural Network
British Library Conference Proceedings | 1996
|Mirror Image Learning for Autoassociative Neural Networks
British Library Conference Proceedings | 2003
|