DocumentCode :
286730
Title :
A neural network motion predictor
Author :
Meng, H. ; Picton, P.D.
Author_Institution :
Open Univ., Milton Keynes, UK
fYear :
1993
fDate :
25-27 May 1993
Firstpage :
177
Lastpage :
181
Abstract :
In this paper, the authors present the results of applying an Elman recurrent net to the prediction of the motion of an object. This neural network predictor can be used in the robot navigation system developed by Meng and Picton (1992) as an online predictor. An Elman net, a fast learning algorithm and an online learning scheme using specialised learning are described. Finally, they present the simulation results for three cases and conclusions
Keywords :
computerised navigation; learning (artificial intelligence); mobile robots; path planning; recurrent neural nets; Elman recurrent net; fast learning algorithm; mobile robots; motion predictor; neural network; online learning; robot navigation system;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Artificial Neural Networks, 1993., Third International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-85296-573-7
Type :
conf
Filename :
263232
Link To Document :
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