Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results
作者： Bashar Awwad Shiekh Hasan , John Q. Gan , Qingfu Zhang
关键词:
摘要: This paper presents a comparative study among three evolutionary and search based methods to solve the problem of channel selection for Brain-Computer Interface (BCI) systems. Multi-Objective Particle Swarm Optimization (MOPSO) method is compared Evolutionary Algorithm on Decomposition (MOEA/D) single objective Sequential Floating Forward Search (SFFS) method. The are tested first data set BCI-Competition IV. results show usefulness multi-objective in achieving accuracy similar extensive with fewer channels less computational time.
essex.ac.uk
sci-hub.se 参考文章(19)
JQ Gan, Bas Hasan, Multi-objective particle swarm optimization for channel selection in brain-computer interfaces University of Nottingham. ,(2009)
Indraneel Das, John Dennis, NORMAL-BOUNDARY INTERSECTION: AN ALTERNATE METHOD FOR GENERATING PARETO OPTIMAL POINTS IN MULTICRITERIA OPTIMIZATION PROBLEMS Institute for Computer Applications in Science and Engineering (ICASE). ,(1996)
Margarita Reyes Sierra, Carlos A. Coello Coello, Improving PSO-Based multi-objective optimization using crowding, mutation and ∈-dominance international conference on evolutionary multi criterion optimization. pp. 505- 519 ,(2005) , 10.1007/978-3-540-31880-4_35
Bashar Awwad Shiekh Hasan, John Q Gan, Matthew Dyson, Tugce Balli, A Study via Feature Selection on the Separability of Approximate Entropy for Brain-Computer Interfaces De Montfort University. ,(2008)
Kaisa Miettinen, Nonlinear Multiobjective Optimization ,(1998)
P. Pudil, J. Novovičová, J. Kittler, Floating search methods in feature selection Pattern Recognition Letters. ,vol. 15, pp. 1119- 1125 ,(1994) , 10.1016/0167-8655(94)90127-9
Indraneel Das, J. E. Dennis, Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems Siam Journal on Optimization. ,vol. 8, pp. 631- 657 ,(1998) , 10.1137/S1052623496307510
Carlos A. Coello Coello, Margarita Reyes-Sierra, Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art International Journal of Computational Intelligence Research. ,vol. 2, pp. 287- 308 ,(2006) , 10.5019/J.IJCIR.2006.68
Jun Lv, Meichun Liu, Common Spatial Pattern and Particle Swarm Optimization for Channel Selection in BCI international conference on innovative computing, information and control. pp. 457- 457 ,(2008) , 10.1109/ICICIC.2008.196