A parallel formulation of back-propagation learning on distributed memory multiprocessors

DOI10.1016/S0167-8191(96)00051-8zbMATH Open0906.68125OpenAlexW1984339175MaRDI QIDQ1391924

D. Massart

Publication date: 23 July 1998

Published in: Parallel Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-8191(96)00051-8

zbMATH Keywords

multilayer neural networksdistributed memory multiprocessorsinter-layer parallelismlearning phaserecall phasespeedup performance

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation

Recommendations

• A parallel algorithm for gradient training of feedforward neural networks 👍 👎
• Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks 👍 👎

This page was built for publication: A parallel formulation of back-propagation learning on distributed memory multiprocessors

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q1391924)