Particle Swarm Optimization Neural Network based Classification of Mental Tasks

被引：0

作者：

Hema, C. R. ^{[1
]}

Paulraj, M. P. ^{[1
]}

Yaacob, S. ^{[1
]}

Adom, A. H. ^{[1
]}

Nagarajan, R. ^{[1
]}

机构：

[1] Univ Malaysia Perlis, Sch Mechatron Engn, Kangar, Perlis, Malaysia

来源：

4TH KUALA LUMPUR INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING 2008, VOLS 1 AND 2 | 2008年 / 21卷 / 1-2期

关键词：

EEG Signal Processing; Brain Machine Interfaces; PSO Neural Networks;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Classification of Mental Task EEG signals is a modus operandi for designing brain machine interfaces. Brain interfaces are designed to rehabilitate people with neural disorders to communicate or control devices. This paper proposes a novel algorithm to classify mental task signals using a particle swarm optimization training procedure for recurrent neural networks. The neural network is trained and tested with mental task signals acquired from two subjects. An average classification performance of 89.9% is observed.

引用

页码：883 / 888

页数：6

共 50 条

[21] CMAC neural network model based on compose particle swarm optimization
Man Chun-tao
Wang Su-ju
Zhang Li-yong
[J]. CIS WORKSHOPS 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY WORKSHOPS, 2007, : 212 - +
[22] A method of wavelet neural network based on particle swarm optimization algorithm
Pan Hongxia
Mao Hongwei
Huang Jinying
[J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2007, 14 : 935 - 939
[23] A Neural Network Learning Algorithm Based on Hybrid Particle Swarm Optimization
Luo Zaifei
Guan Binglei
Zhou Shiguan
[J]. CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 3255 - 3259
[24] Credit scoring model based on Neural Network with particle swarm optimization
Gao, Liang
Zhou, Chi
Gao, Hai-Bing
Shi, Yong-Ren
[J]. ADVANCES IN NATURAL COMPUTATION, PT 1, 2006, 4221 : 76 - 79
[25] A Forecasting Model of RBF Neural Network Based on Particle Swarm Optimization
Pan, Yumin
Huang, Chengyu
Zhang, Quanzhu
[J]. MECHATRONIC SYSTEMS AND AUTOMATION SYSTEMS, 2011, 65 : 605 - 612
[26] A Neural Network Trojan Detection Method Based on Particle Swarm Optimization
Wang, Chen-Xu
Zhao, Shi-Yao
Wang, Xin-Sheng
Luo, Min
Yang, Min
[J]. 2018 14TH IEEE INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY (ICSICT), 2018, : 1249 - 1251
[27] A new evolved artificial neural network based on particle swarm optimization
Zhang, GY
Sha, Y
Zhang, J
[J]. ISTM/2005: 6TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-9, CONFERENCE PROCEEDINGS, 2005, : 9347 - 9349
[28] An Intelligent Particle Swarm Optimization with Convolutional Neural Network for Diabetic Retinopathy Classification Model
Jayanthi, J.
Jayasankar, T.
Krishnaraj, N.
Prakash, N. B.
Britto, A. Sagai Francis
Kumar, K. Vinoth
[J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2021, 11 (03) : 803 - 809
[29] Particle swarm optimization pattern recognition neural network for transmission lines faults classification
Zhang, Liang
Zhao, Zhengang
Zhang, Dacheng
Luo, Chuan
Li, Chuan
[J]. INTELLIGENT DATA ANALYSIS, 2022, 26 (01) : 189 - 203
[30] A particle swarm optimization improved BP neural network intelligent model for electrocardiogram classification
Li, Guixiang
Tan, Zhongwei
Xu, Weikang
Xu, Fei
Wang, Lei
Chen, Jun
Wu, Kai
[J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021, 21 (SUPPL 2)

← 1 2 3 4 5 →