Abstract
This paper presents the parallel architecture of the Jordan network learning algorithm. The proposed solution is based on the high parallel three dimensional structures to speed up learning performance. Detailed parallel neural network structures are explicitly shown.
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Bilski, J., Smoląg, J. (2013). Parallel Approach to Learning of the Recurrent Jordan Neural Network. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7894. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38658-9_3
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DOI: https://doi.org/10.1007/978-3-642-38658-9_3
Publisher Name: Springer, Berlin, Heidelberg
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