TY - GEN
T1 - Clustering to train an evolving radial basis function European Conference on Artificial Intelligence
AU - De Jesus Rubio, Jose
AU - Pacheco, Jaime
AU - Rivera, Raul
PY - 2010
Y1 - 2010
N2 - In this paper, we propose the backpropagation algorithm to train online an evolving radial basis function. Structure and parameter learning are updated at the same time in our algorithm, we do not make difference in structure learning and parameter learning. It generate groups with an online clustering. The center is updated in order to get that the center is near to the incoming data in each iteration, in this way, It does not need to generate a new rule in each iteration, i.e., it does not generate many rules and It does not need to prune the rules. We give a time varying learning rate for backpropagation training in the parameters.
AB - In this paper, we propose the backpropagation algorithm to train online an evolving radial basis function. Structure and parameter learning are updated at the same time in our algorithm, we do not make difference in structure learning and parameter learning. It generate groups with an online clustering. The center is updated in order to get that the center is near to the incoming data in each iteration, in this way, It does not need to generate a new rule in each iteration, i.e., it does not generate many rules and It does not need to prune the rules. We give a time varying learning rate for backpropagation training in the parameters.
UR - http://www.scopus.com/inward/record.url?scp=84863933136&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:84863933136
SN - 190295694X
SN - 9781902956947
T3 - Proceedings of the International Symposium on Evolving Intelligent Systems - A Symposium at the AISB 2010 Convention
SP - 23
EP - 25
BT - Proceedings of the International Symposium on Evolving Intelligent Systems - A Symposium at the AISB 2010 Convention
T2 - 2010 International Symposium on Evolving Intelligent Systems, EIS'10, Organised in the 2010 Annual Convention of the Society for Study of Artificial Intelligence and Simulation of Behaviour, AISB'10
Y2 - 29 March 2010 through 1 April 2010
ER -