Abstract
A new model – Double-Layer Vector Perceptron (DLVP) – is proposed. Compared with a single-layer perceptron, its operation requires slightly more computations (by 5%) and more effective computer memory, but it excels at a much lower error rate (four orders of magnitude lower). The estimate of DLVP storage capacity is obtained.
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Kryzhanovskiy, V., Zhelavskaya, I. (2015). Double-Layer Vector Perceptron for Binary Patterns Recognition. In: Koprinkova-Hristova, P., Mladenov, V., Kasabov, N. (eds) Artificial Neural Networks. Springer Series in Bio-/Neuroinformatics, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-09903-3_5
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DOI: https://doi.org/10.1007/978-3-319-09903-3_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09902-6
Online ISBN: 978-3-319-09903-3
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