Abstract
This paper presents a new memory of the Hopfield model that fixes many drawbacks of the model, such as loading capacity, limit cycle and error tolerance. This memory is derived from the hairy model [15]. This paper also constructs a training process to further balance the vulnerable memory parts and improve the memory.
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Liou, CY. (2006). Backbone Structure of Hairy Memory. In: Kollias, S.D., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840817_72
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DOI: https://doi.org/10.1007/11840817_72
Publisher Name: Springer, Berlin, Heidelberg
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