| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
|
|
タイトル |
A Log-Linearized Gaussian Mixture Network and Its Application to EEG Pattern Classification |
|
言語 |
en |
| 作成者 |
Tsuji, Toshio
Fukuda, Osamu
Ichinobe, Hiroyuki
Kaneko, Makoto
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
|
|
権利情報 |
Copyright (c) 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Electroencephalography |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
feedforward neural networks |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
pattern classification |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
recurrent nerual networks |
| 主題 |
|
|
主題Scheme |
NDC |
|
主題 |
530 |
| 内容記述 |
|
|
内容記述 |
The present paper proposes a new probabilisticneural network (NN) that can estimate a posteriori probabilityfor a pattern classification problem. The structure of the proposednetwork is based on a statistical model composed by a mixtureof log-linearized Gaussian components. However, the forwardcalculation and the backward learning rule can be defined in thesame manner as the error backpropagation NN. In this paper, theproposed network is applied to the electroencephalogram (EEG)pattern classification problem. In the experiments, two types of aphotic stimulation, which are caused by eye opening/closing andartificial light, are used to collect the data to be classified. It isshown that the EEG signals can be classified successfully andthat the classification rates change depending on the number oftraining data and the dimension of the feature vectors. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
IEEE |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 関連情報 |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
10.1109/5326.740670 |
| 関連情報 |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
http://dx.doi.org/10.1109/5326.740670 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1094-6977 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA11198437 |
| 開始ページ |
|
|
開始ページ |
60 |
| 書誌情報 |
IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews
巻 29,
号 1,
p. 60-72,
発行日 1999
|
| 旧ID |
14192 |
IEEE_TSMC_C_AR_29_1_60-72_1999.pdf (482.3 KB)
