DocumentCode
3596211
Title
Trajectory assignment by output zeroing
Author
Pearson, D.W.
Author_Institution
Lab. d´´Electron d´´Autom. et d´´Inf., Ecole des Mines d´´Ales, France
Volume
1
fYear
1993
Firstpage
417
Abstract
In this paper we investigate the problem of how to impose a state-space trajectory on an artificial neural network of Hopfield type. By defining certain output functions of network states we are able to achieve the required trajectories without requiring training. Our theory is based on nonlinear geometrical methods and we use reliable and accurate numerical algorithms for all our computations.
Keywords
Hopfield neural nets; computational geometry; state-space methods; topology; Hopfield neural network; nonlinear geometrical methods; output zeroing; state-space trajectory; trajectory assignment; Artificial neural networks; Computer networks; Differential equations; Electronic mail; Modems; Reliability theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.713945
Filename
713945
Link To Document