Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing
type: Item
instance of: scholarly article
title: Nonmonotone BFGS-trained recurrent neural networks for temporal sequence processing
zbMATH Open document ID: 1207.92004
author: Chun-Cheng Peng
author: George D. Magoulas
published in: Applied Mathematics and Computation
publication date: 2011-03-08T00:00:00Z
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5862479
zbMATH Keywords: recurrent neural networks
zbMATH Keywords: quasi-Newton methods
zbMATH Keywords: BFGS updates
zbMATH Keywords: nonmonotone methods
zbMATH Keywords: second-order training algorithms
zbMATH Keywords: temporal sequence
MaRDI profile type: Publication
full work available at URL: j.amc.2010.12.012
OpenAlex ID: W2009170651
cites work: Numerical expirience with a class of self-scaling quasi-Newton algorithms
cites work: The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
cites work: Variable Metric Method for Minimization
cites work: A Rapidly Convergent Descent Method for Minimization
cites work: Q5589753
cites work: A new approach to variable metric algorithms
cites work: Q4226179
cites work: A Family of Variable-Metric Methods Derived by Variational Means
cites work: A Nonmonotone Line Search Technique for Newton’s Method
cites work: A quasi-discrete Newton algorithm with a nonmonotone stabilization technique
cites work: Q5576714
cites work: Q4001920
cites work: Q4897130
cites work: Spatiotemporal connectionist networks: A taxonomy and review
cites work: Training the random neural network using quasi-Newton methods
cites work: ADAPTIVE ALGORITHMS FOR NEURAL NETWORK SUPERVISED LEARNING: A DETERMINISTIC OPTIMIZATION APPROACH
cites work: On the alleviation of the problem of local minima in back-propagation
cites work: Analysis of a self-scaling quasi-Newton method
cites work: Self-Scaling Variable Metric (SSVM) Algorithms
cites work: Q4783956
cites work: How bad are the BFGS and DFP methods when the objective function is quadratic?
cites work: Q4398829
cites work: Conditioning of Quasi-Newton Methods for Function Minimization
cites work: Global convergence of nonmonotone descent methods for unconstrained optimization problems
cites work: A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization
DOI: 10.1016/J.AMC.2010.12.012
description: scientific article; zbMATH DE number 5862479