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.
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Meng, X., Yuan, Q., Pi, Y., Wang, J. (2007). A Novel Method of Constructing ANN. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72393-6_59
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DOI: https://doi.org/10.1007/978-3-540-72393-6_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72392-9
Online ISBN: 978-3-540-72393-6
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