DocumentCode
328286
Title
A motivation-following learning
Author
Zhou, SU ; Popovic, Dobrivoe ; Schulz-Ekloff, Guenter
Author_Institution
Inst. of Autom. Technol., Bremen Univ., Germany
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
549
Abstract
Concerns a learning process in which the objective is to follow a primary motivation and is usually represented by the minimization of a sum-of-the-squared error. A motivation-following learning, especially suitable for the learning of a rapidly changing environment, is proposed to update the parameter vector of the modified multiblock network. Its advantages are online adaptation ability, simplicity of implementation, and steadily improved learning performance.
Keywords
backpropagation; least squares approximations; minimisation; neural nets; implementation simplicity; modified multiblock network; motivation-following learning; online adaptation ability; rapidly changing environment; sum-of-the-squared error minimization; Acceleration; Automation; Backpropagation algorithms; Bismuth; Chemical technology; Chemistry; Convergence; Jacobian matrices; Learning systems; Niobium;
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.1993.713974
Filename
713974
Link To Document