Abstract
We discuss the loading capacity of the neuronic equation for temporal associative memory. We show explicitly how to synthesize a perfect temporal associative memory using a network of such neurons, where all non-linear aspects can be linearized in tensorial space.
Supported by National Science Council NSC 91-2213-E-002-124
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Liou, CY., Sou, UC. (2003). Loading Temporal Associative Memory Using the Neuronic Equation. In: Kaynak, O., Alpaydin, E., Oja, E., Xu, L. (eds) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. ICANN ICONIP 2003 2003. Lecture Notes in Computer Science, vol 2714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44989-2_7
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DOI: https://doi.org/10.1007/3-540-44989-2_7
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