Using the optimization layer-by-layer learning algorithm on local-recurrent-global-feedforward networks in financial time series predictions

DOI10.1080/0020772021000046298zbMath1023.91027OpenAlexW2115944207MaRDI QIDQ4796857

Jun Lu, Hiroshi Ohta

Publication date: 12 March 2003

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0020772021000046298

zbMATH Keywords

neural networksfinancial time seriesmethodoptimization layer-by-layer

Mathematics Subject Classification ID

Cites Work

• Approximation by superpositions of a sigmoidal function

This page was built for publication: Using the optimization layer-by-layer learning algorithm on local-recurrent-global-feedforward networks in financial time series predictions