A Novel Method of Constructing ANN

Authors:
Xiangping Meng;Quande Yuan;Yuzhen Pi;Jianzhong Wang
Affiliations:
School of Electrical Engineering & Information Technology, Changchun Institute of Technology, 130012, Changchun, China;School of Information Engineering, Northeast Dianli University, 132012, Jinlin, China;School of Information Engineering, Northeast Dianli University, 132012, Jinlin, China;School of Information Engineering, Northeast Dianli University, 132012, Jinlin, China
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Year:
2007

Citing 7
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Abstract

Artificial Neural Networks (ANNs) are powerful computational and modeling tools, however there are still some limitations in ANNs. In this paper, we give a new method to construct artificial neural network, which based on multi-agent theory and Reinforcement learning algorithm. All nodes in this new neural networks are presented as agents, and these agents have learning ability via implementing reinforcement learning algorithm. The experiment results show this method is effective.