Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc

DOI10.1007/s11704-018-8095-8zbMath1425.68348OpenAlexW2901941709WikidataQ128948403 ScholiaQ128948403MaRDI QIDQ1712082

Wenping Peng, Yunlei Yang, Taohua Liu, Muzhou Hou

Publication date: 21 January 2019

Published in: Frontiers of Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11704-018-8095-8

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations

Cites Work

• A note on influence diagnostics in AR(1) time series models
• Weak convergence of marked empirical processes for focused inference on \(\mathrm{AR}(p)\) vs \(\mathrm{AR}(p+1)\) stationary time series
• Further analysis of the data by Akaike's information criterion and the finite corrections

This page was built for publication: Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc