Abstract
In this paper, we presented a general mapping algorithm for MLP onto the CNAPS neurocomputer. We derived an analytical model of the performances of CNAPS for the two schemes, local and full, of interconnections between layers. We compared the two interconnection networks of CNAPS for their implementation. Finally we gave the performance of two neural systems for character recognition. It should be observed that the performances achieved for the simulation of LeNet are only 2 to 4 times slower than those achieved by dedicated hardware such as ANNA.
We would like to thank I.E.F and Réseau Doctoral ASM for their support
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© 1996 Springer-Verlag Berlin Heidelberg
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Granado, B., Garda, P. (1996). Evaluation of the two different interconnection networks of the CNAPS neurocomputer. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_126
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DOI: https://doi.org/10.1007/3-540-61510-5_126
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