TY - GEN
T1 - Performance optimization of function localization neural network by using reinforcement learning
AU - Sasakawa, Takafumi
AU - Hu, Jinglu
AU - Hirasawa, Kotaro
PY - 2005/12/1
Y1 - 2005/12/1
N2 - According to Hebb's cell assembly theory, the brain has the capability of function localization. On the other hand, it is suggested that the brain has three different learning paradigms: supervised, unsupervised and reinforcement learning. Inspired by the above knowledge of brain, we present a selforganizing function localization neural network (FLNN), that contains supervised, unsupervised and reinforcement learning paradigms. In this paper, we concentrate our discussion mainly on applying a simplified reinforcement learning called evaluative feedback to optimization of the self-organizing FLNN. Numerical simulations show that the self-organizing FLNN has superior performance to an ordinary artificial neural network (ANN).
AB - According to Hebb's cell assembly theory, the brain has the capability of function localization. On the other hand, it is suggested that the brain has three different learning paradigms: supervised, unsupervised and reinforcement learning. Inspired by the above knowledge of brain, we present a selforganizing function localization neural network (FLNN), that contains supervised, unsupervised and reinforcement learning paradigms. In this paper, we concentrate our discussion mainly on applying a simplified reinforcement learning called evaluative feedback to optimization of the self-organizing FLNN. Numerical simulations show that the self-organizing FLNN has superior performance to an ordinary artificial neural network (ANN).
UR - http://www.scopus.com/inward/record.url?scp=33745964360&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745964360&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2005.1556044
DO - 10.1109/IJCNN.2005.1556044
M3 - Conference contribution
AN - SCOPUS:33745964360
SN - 0780390482
SN - 9780780390485
T3 - Proceedings of the International Joint Conference on Neural Networks
SP - 1314
EP - 1319
BT - Proceedings of the International Joint Conference on Neural Networks, IJCNN 2005
T2 - International Joint Conference on Neural Networks, IJCNN 2005
Y2 - 31 July 2005 through 4 August 2005
ER -