Title
Time series forecasting by neural networks: A knee point-based multiobjective evolutionary algorithm approach.
Abstract
•Two new multiobjective algorithms NSJADE and KP-NSJADE are proposed.•The proposed multiobjective algorithms are used to solve the time series forecasting problem.•Knee point is applied to the time series forecasting problem for the first time.
Year
DOI
Venue
2014
10.1016/j.eswa.2014.06.041
Expert Systems with Applications
Keywords
Field
DocType
Artificial neural network (ANN),Multiobjective evolutionary algorithm (MOEA),Time series forecasting (TSF),Knee point
Population,Time series,Feedforward neural network,Evolutionary algorithm,Computer science,Differential evolution,Sorting,Artificial intelligence,Artificial neural network,Genetic algorithm,Machine learning
Journal
Volume
Issue
ISSN
41
18
0957-4174
Citations 
PageRank 
References 
7
0.44
26
Authors
3
Name
Order
Citations
PageRank
Wei Du1626.55
S. Y. S. Leung222713.99
Chun-Kit Kwong3636.42