Output details
15 - General Engineering
Bournemouth University
Article title
A Generic Multilevel Architecture for Time Series Prediction
Type
D - Journal article
Title of journal
IEEE Transactions on Knowledge and Data Engineering
Article number
-
Volume number
23
Issue number
3
First page of article
350
ISSN of journal
1041-4347
Year of publication
2011
URL
-
Number of additional authors
2
Additional information
International forecasting competition winning approach following a class of promoted and developed in our Smart Technology Research Centre multi-level, multi-component prediction frameworks and approaches based on diversified ensembles of predictors. This work won the NiSIS 2006 competition, which was set up by Evonik Degussa and concerned the prediction of catalyst activity, and led to a successful co-funded, collaborative pilot project between Evonik and BU (£85k, 2006-2009) and later funding of a large EU project (INFER €1,555,380, BU: €890,421, 2010-2014, Ref: FP7-PEOPLE-2009-IAPP-251617).
Interdisciplinary
-
Cross-referral requested
-
Research group
2 - Smart Technology
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
