Abstract
In order to imitate the course of learning and cognizing things with the human brain better, this article introduced the human brain’s Memorizing-forgetting Character to the ART2 Network, then with the Memory Strength as the basis of sequence for recognition with existing patterns, thus this network model would be improved better. Through Simulation for recognition and classification with experimental samples, we prove that the ART2 network with Memorizing-forgetting Character could recognize experimental samples with less time in recognition than original ART2 network, and improve the efficiency of network.
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© 2011 Springer-Verlag Berlin Heidelberg
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Ye, X., Lin, X., Dai, X. (2011). The ART2 Network Based on Memorizing-Forgetting Mechanism. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21105-8_8
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DOI: https://doi.org/10.1007/978-3-642-21105-8_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21104-1
Online ISBN: 978-3-642-21105-8
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