Abstract
In this paper, we propose a model of forgetting scheme for Neural Network by topologic. In general, parameters architecture is pre-defined for special problem and is not suitable for knowledge learning like human. Based on layered neurons architecture, we gave a ponn algorithm for constructive neural network which has properties of short-long learning procedure. Experimental result has demonstrated that the proposed model can store knowledge in terms of both short term and long term learning process.
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Zhu, S. (2012). A Forgetting Scheme for Layered-Neurons Procedure. In: Lei, J., Wang, F.L., Li, M., Luo, Y. (eds) Network Computing and Information Security. NCIS 2012. Communications in Computer and Information Science, vol 345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35211-9_45
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DOI: https://doi.org/10.1007/978-3-642-35211-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35210-2
Online ISBN: 978-3-642-35211-9
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