A mathematical discussion concerning the performance of multilayer perceptron-type artificial neural networks through use of orthogonal bipolar vectors
type: Item
instance of: scholarly article
title: A mathematical discussion concerning the performance of multilayer perceptron-type artificial neural networks through use of orthogonal bipolar vectors
zbMATH Open document ID: 1391.68097
author: José Ricardo Gonçalves Manzan
author: Keiji Yamanaka
author: Igor Santos Peretta
author: Edmilson Rodrigues Pinto
author: Tiago Elias Carvalho Oliveira
author: Shigueo Nomura
published in: Computational and Applied Mathematics
publication date: 2018-08-02T00:00:00Z
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6912446
zbMATH Keywords: Euclidean distance
zbMATH Keywords: handwritten digits
zbMATH Keywords: iris human
zbMATH Keywords: Auslan signs
zbMATH Keywords: conventional bipolar vector
zbMATH Keywords: orthogonal bipolar vector
zbMATH Keywords: pattern recognition
zbMATH Keywords: target vector
zbMATH Keywords: artificial neural network
zbMATH Keywords: multilayer perceptron
describes a project that uses: UCI-ml
describes a project that uses: CASIA Iris
describes a project that uses: R
MaRDI profile type: Publication
full work available at URL: s40314-016-0377-x
OpenAlex ID: W2515170201
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cites work: Achieving a more robust neural network model for control of a MR damper by signal sensitivity analysis
DOI: 10.1007/S40314-016-0377-X
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description: scientific article; zbMATH DE number 6912446