Classification of EEG signals for epileptic seizures using Levenberg-Marquardt algorithm based Multilayer Perceptron Neural Network

被引：22

作者：

Narang, Ankit ^{[1
]}

Batra, Bhumika ^{[1
]}

Ahuja, Arpit ^{[1
]}

Yadav, Jyoti ^{[1
]}

Pachauri, Nikhil ^{[2
]}

机构：

[1] Netaji Subhas Inst Technol, Dept Instrumentat & Control, Azad Hind Fauj Marg,Sect 3, Delhi, India

[2] Dept Elect & Elect Engn, Delhi Tech Campus, Greater Noida, Uttar Pradesh, India

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2018年 / 34卷 / 03期

关键词：

Artificial neural network; support vector machine; EEG signal;

D O I：

10.3233/JIFS-169460

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

EEG is the most effective diagnostic technique to determine epilepsy in a patient. The objective of this research work is to apply classification techniques on EEG signals to determine whether the patient has suffered from epileptic seizure. This is carried out through the extraction of various time and frequency domain features. The two classifiers, i.e. Artificial Neural Network (ANN) and Support Vector Machine (SVM) are used and compared using various evaluation parameters. The simulation results and corresponding quantitative analysis shows that ANN classifier is superior to SVM.

引用

页码：1669 / 1677

页数：9

共 50 条

[1] Research on EEG Classification with Neural Networks Based on the Levenberg-Marquardt Algorithm
Chen, Yue
Zhang, Shaobai
INFORMATION COMPUTING AND APPLICATIONS, PT 2, 2012, 308 : 195 - 202
[2] Combining Genetic Algorithm and Levenberg-Marquardt Algorithm in Training Neural Network for Hypoglycemia Detection using EEG Signals
Nguyen, Lien B.
Nguyen, Anh V.
Ling, Sai Ho
Nguyen, Hung T.
2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 5386 - 5389
[3] A Layer-by-Layer Levenberg-Marquardt Algorithm for Feedforward Multilayer Perceptron
Kwak, Young-Tae
Jo, Heeseung
APPLIED MATHEMATICS & INFORMATION SCIENCES, 2012, 6 (02): : 505S - 511S
[4] Fault Classification in a Transmission Line Using Levenberg-Marquardt Algorithm Based Artificial Neural Network
Kaur, Harkamaldeep
Kaur, Manbir
DATA COMMUNICATION AND NETWORKS, GUCON 2019, 2020, 1049 : 119 - 135
[5] Neighborhood based Levenberg-Marquardt algorithm for neural network training
Lera, G
Pinzolas, M
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2002, 13 (05): : 1200 - 1203
[6] Application of a multilayer perceptron based on the Levenberg-Marquardt algorithm to odour pattern classification and concentration estimation using odour sensing system
Kim, JD
Byun, HG
Persaud, KC
ELECTRONIC NOSES AND OLFACTION 2000, 2000, : 115 - 120
[7] Lateral control of autonomous vehicle using levenberg-marquardt neural network algorithm
Lee, K.B.
Kim, Y.J.
Ahn, O.S.
Kim, Y.B.
International Journal of Automotive Technology, 2002, 3 (02) : 79 - 88
[8] An echo state network based on Levenberg-Marquardt algorithm
Wang, Lei
Yang, Cuili
Qiao, Junfei
Wang, Gongming
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 3899 - 3904
[9] Application of the Neural Network in Diagnosis of Breast Cancer Based on Levenberg-Marquardt Algorithm
Min, Zeng
Xiao, Liang
Cao, Lin
Yan, Hangcheng
2017 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC), 2017, : 268 - 272
[10] Neural network predictive control for dissolved oxygen based on levenberg-marquardt algorithm
Li M.
Zhou L.
Wang J.
Nongye Jixie Xuebao, 6 (297-302): : 297 - 302

← 1 2 3 4 5 →