A recurrent neural network for computing pseudoinverse matrices
type: Item
instance of: scholarly article
title: A recurrent neural network for computing pseudoinverse matrices
zbMATH Open document ID: 0808.65038
DOI: 10.1016/0895-7177(94)90215-1
author: J. Hootman
author: Guang Wu
author: Jun Wang
published in: Mathematical and Computer Modelling
publication date: 1994-09-22T00:00:00Z
review text: A method for computing the pseudoinverses of matrices is given. The authors make use of a recurrent neural network. The proposed method is a new parallel distributed computational algorithm. The computations are fast and stable. This should make the method a good choice for real time applications involving inverse kinematic computations in robotics.
Mathematics Subject Classification ID: 65F20
Mathematics Subject Classification ID: 65Y05
Mathematics Subject Classification ID: 70E15
zbMATH DE Number: 643731
zbMATH Keywords: pseudoinverses
zbMATH Keywords: recurrent neural network
zbMATH Keywords: parallel distributed computational algorithm
zbMATH Keywords: inverse kinematic computations in robotics
reviewed by: R. P. Tewarson
MaRDI profile type: Publication
full work available at URL: 0895-7177(94)90215-1
OpenAlex ID: W2052528893
cites work: Q4023089
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cites work: Q4326408
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description: scientific article; zbMATH DE number 643731