An evolutionary recursive algorithm in selecting statistical subset neural network/VDL filtering

DOI10.1155/JAMDS/2006/46592zbMath1105.62090OpenAlexW2042615582MaRDI QIDQ2491529

Andrew H. Chen, R. D. Terrell, J. H. W. Penm

Publication date: 29 May 2006

Published in: Journal of Applied Mathematics and Decision Sciences (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/126920

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

• Unnamed Item
• Multivariate subset autoregressive modelling with zero constraints for detecting 'overall causality'
• A Robust Algorithm in Sequentially Selecting Subset Time Series Systems Using Neural Networks
• A note on the recursions of multichannel complex subset autoregressions

This page was built for publication: An evolutionary recursive algorithm in selecting statistical subset neural network/VDL filtering