Kryzhanovskiy V., I. Zhelavskaya, (2015), Double-Layer Vector Perceptron for Binary Patterns Recognition, Springer International Publishing, 978-3-319-09903-3
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.Authors (sorted by name)
Kryzhanovskiy ZhelavskayaAcknowledgments
Artificial Neural NetworksBibtex
@inbook{10.1007/978-3-319-09903-3_5,
author="Kryzhanovskiy, Vladimir and Zhelavskaya, Irina",
editor="Koprinkova-Hristova, Petia
and Mladenov, Valeri
and Kasabov, Nikola K.",
title="Double-Layer Vector Perceptron for Binary Patterns Recognition",
booktitle="Artificial Neural Networks",
year="2015",
publisher="Springer International Publishing",
address="Cham, Switzerland",
pages="91--113",
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.",
isbn="978-3-319-09903-3"
}