Gradient computation of continuous-time cellular neural/nonlinear networks with linear templates via the CNN universal machine
type: Item
instance of: scholarly article
title: Gradient computation of continuous-time cellular neural/nonlinear networks with linear templates via the CNN universal machine
zbMATH Open document ID: 1008.68769
DOI: 10.1023/A:1019933009505
author: Mátyás Brendel
author: Tamás Roska
author: Gusztáv Bártfai
published in: Neural Processing Letters
publication date: 2003-02-19T00:00:00Z
Mathematics Subject Classification ID: 68U99
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1871173
zbMATH Keywords: cellular neural networks
zbMATH Keywords: gradient-method
zbMATH Keywords: learning
zbMATH Keywords: training
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 1871173