A comparison of nonlinear optimization methods for supervised learning in multilayer feedforward neural networks
type: Item
instance of: scholarly article
title: A comparison of nonlinear optimization methods for supervised learning in multilayer feedforward neural networks
zbMATH Open document ID: 0912.90253
DOI: 10.1016/0377-2217(96)00035-5
author: James W. Denton
author: Ming S. Hung
published in: European Journal of Operational Research
publication date: 1998-10-18T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 1212196
zbMATH Keywords: neural networks
zbMATH Keywords: pattern classification
zbMATH Keywords: supervised learning
zbMATH Keywords: multilayer feedforward networks
zbMATH Keywords: training
describes a project that uses: L-BFGS
MaRDI profile type: Publication
full work available at URL: 0377-2217(96)00035-5
OpenAlex ID: W1982057193
cites work: The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
cites work: Q4226179
cites work: A new approach to variable metric algorithms
cites work: Function minimization by conjugate gradients
cites work: Q4739659
cites work: Factorized Variable Metric Methods for Unconstrained Optimization
cites work: A Family of Variable-Metric Methods Derived by Variational Means
cites work: On Steepest Descent
cites work: Updating Quasi-Newton Matrices with Limited Storage
cites work: Q4107408
cites work: Conditioning of Quasi-Newton Methods for Function Minimization
cites work: A GRG2-Based System for Training Neural Networks: Design and Computational Experience
cites work: Managerial Applications of Neural Networks: The Case of Bank Failure Predictions
cites work: Convergence Conditions for Ascent Methods
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description: scientific article; zbMATH DE number 1212196