A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method

Q. Zhang; X. Bai; M. Akutagawa; H. Nagashino; Y. Kinouchi; F. Shichijo; S. Nagahiro; L. Ding

doi:10.1109/ICARCV.2002.1234882

A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method

Q. Zhang^*
, X. Bai
, M. Akutagawa
, H. Nagashino
, Y. Kinouchi
, F. Shichijo
, S. Nagahiro
, L. Ding

^*Corresponding author for this work

Tokushima University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

EEC source localization is well known as an important inverse problem of electrophysiology. Usually there is no closed-form solution for this problem and it requires iterative techniques such as the Levenberg-Marquardt algorithm. However, the method requires long computing times, huge memory and large number of electrodes to avoid local minima. To overcome these problems, a method combining back propagation neural network (BPNN) with nonlinear least square method (NLS) is therefore proposed in this study. The new method shows how to estimate an approximate solution of the inverse problem by the BPNN method, and how to select the initial value of the NLS method due to the results of BPNN to obtain the optimum solution, where the problem is solved by POWELL iterative algorithm.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Publisher	Nanyang Technological University
Pages	536-541
Number of pages	6
ISBN (Print)	9810483643, 9789810483647
DOIs	https://doi.org/10.1109/ICARCV.2002.1234882
State	Published - 2002
Externally published	Yes
Event	7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 - Marine Mandarin, Singapore Duration: 2 Dec 2002 → 5 Dec 2002

Publication series

Name	Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Volume	3

Conference

Conference	7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002
Country/Territory	Singapore
City	Marine Mandarin
Period	2/12/02 → 5/12/02

Access to Document

10.1109/ICARCV.2002.1234882

Cite this

Zhang, Q., Bai, X., Akutagawa, M., Nagashino, H., Kinouchi, Y., Shichijo, F., Nagahiro, S., & Ding, L. (2002). A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method. In Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 (pp. 536-541). (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002; Vol. 3). Nanyang Technological University. https://doi.org/10.1109/ICARCV.2002.1234882

Zhang, Q. ; Bai, X. ; Akutagawa, M. et al. / A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method. Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002. Nanyang Technological University, 2002. pp. 536-541 (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002).

@inproceedings{db56957835bd4a058487968a6970f3d2,

title = "A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method",

abstract = "EEC source localization is well known as an important inverse problem of electrophysiology. Usually there is no closed-form solution for this problem and it requires iterative techniques such as the Levenberg-Marquardt algorithm. However, the method requires long computing times, huge memory and large number of electrodes to avoid local minima. To overcome these problems, a method combining back propagation neural network (BPNN) with nonlinear least square method (NLS) is therefore proposed in this study. The new method shows how to estimate an approximate solution of the inverse problem by the BPNN method, and how to select the initial value of the NLS method due to the results of BPNN to obtain the optimum solution, where the problem is solved by POWELL iterative algorithm.",

author = "Q. Zhang and X. Bai and M. Akutagawa and H. Nagashino and Y. Kinouchi and F. Shichijo and S. Nagahiro and L. Ding",

year = "2002",

doi = "10.1109/ICARCV.2002.1234882",

language = "英语",

isbn = "9810483643",

series = "Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002",

publisher = "Nanyang Technological University",

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booktitle = "Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002",

address = "新加坡",

note = "7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 ; Conference date: 02-12-2002 Through 05-12-2002",

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Zhang, Q, Bai, X, Akutagawa, M, Nagashino, H, Kinouchi, Y, Shichijo, F, Nagahiro, S & Ding, L 2002, A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method. in Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002. Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002, vol. 3, Nanyang Technological University, pp. 536-541, 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002, Marine Mandarin, Singapore, 2/12/02. https://doi.org/10.1109/ICARCV.2002.1234882

A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method. / Zhang, Q.; Bai, X.; Akutagawa, M. et al.
Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002. Nanyang Technological University, 2002. p. 536-541 (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhang, Q.

AU - Bai, X.

AU - Akutagawa, M.

AU - Nagashino, H.

AU - Kinouchi, Y.

AU - Shichijo, F.

AU - Nagahiro, S.

AU - Ding, L.

PY - 2002

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AB - EEC source localization is well known as an important inverse problem of electrophysiology. Usually there is no closed-form solution for this problem and it requires iterative techniques such as the Levenberg-Marquardt algorithm. However, the method requires long computing times, huge memory and large number of electrodes to avoid local minima. To overcome these problems, a method combining back propagation neural network (BPNN) with nonlinear least square method (NLS) is therefore proposed in this study. The new method shows how to estimate an approximate solution of the inverse problem by the BPNN method, and how to select the initial value of the NLS method due to the results of BPNN to obtain the optimum solution, where the problem is solved by POWELL iterative algorithm.

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Zhang Q, Bai X, Akutagawa M, Nagashino H, Kinouchi Y, Shichijo F et al. A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method. In Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002. Nanyang Technological University. 2002. p. 536-541. (Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002). doi: 10.1109/ICARCV.2002.1234882

A Method for Two EEG Sources Localization by Combining BP Neural Networks with Nonlinear Least Square Method

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