지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.11 No.4
- 발행연도
- 2016.7
- 수록면
- 993 - 1,002 (10page)
이용수
초록· 키워드
오류제보하기
Hepatitis is a major public health problem all around the world. This paper proposes an automatic disease diagnosis system for hepatitis based on Genetic Algorithm (GA) Wavelet Kernel (WK) Extreme Learning Machines (ELM). The classifier used in this paper is single layer neural network (SLNN) and it is trained by ELM learning method. The hepatitis disease datasets are obtained from UCI machine learning database. In Wavelet Kernel Extreme Learning Machine (WK-ELM) structure, there are three adjustable parameters of wavelet kernel. These parameters and the numbers of hidden neurons play a major role in the performance of ELM. Therefore, values of these parameters and numbers of hidden neurons should be tuned carefully based on the solved problem. In this study, the optimum values of these parameters and the numbers of hidden neurons of ELM were obtained by using Genetic Algorithm (GA). The performance of proposed GA-WK-ELM method is evaluated using statical methods such as classification accuracy, sensitivity
and specivity analysis and ROC curves. The results of the proposed GA-WK-ELM method are compared with the results of the previous hepatitis disease studies using same database as well as different database. When previous studies are investigated, it is clearly seen that the high classification accuracies have been obtained in case of reducing the feature vector to low dimension. However, proposed GA-WK-ELM method gives satisfactory results without reducing the feature vector. The calculated highest classification accuracy of proposed GA-WK-ELM method is found as 96.642 %.
and specivity analysis and ROC curves. The results of the proposed GA-WK-ELM method are compared with the results of the previous hepatitis disease studies using same database as well as different database. When previous studies are investigated, it is clearly seen that the high classification accuracies have been obtained in case of reducing the feature vector to low dimension. However, proposed GA-WK-ELM method gives satisfactory results without reducing the feature vector. The calculated highest classification accuracy of proposed GA-WK-ELM method is found as 96.642 %.
목차
Abstract
1. Introduction
2. Pattern Recognition Concept
3. Classic Extreme Learning Machine
4. Wavelet Kernel Based Extreme Learning Machines
5. Genetic Algorithm
6. Data Description
7. Application of GA-WK-ELM for Diagnosis of Hepatitis
8. Obtained Results
9. Discussion and Conclusion
References
참고문헌 (27)
참고문헌 신청
[학술지(정기간행물)] - Esin Dogantekin / 2009 / Automatic hepatitis diagnosis system based on Linear Discriminant Analysis and Adaptive Network based on Fuzzy Inference System / Expert Systems with Applications 36 : 11282 ~ 11286
[학술지(정기간행물)] - Esin Dogantekin / 2009 / Automatic hepatitis diagnosis system based on linear discriminant analysis and adaptive network based on fuzzy inference system / Expert Systems with Applications 36 (8) : 11282 ~ 11286
[학술지(정기간행물)] - Tahseen A. Jilani / 2011 / PCA-ANN for Classification of Hepatitis-C Patients / International Journal of Computer Applications 14 (7)
[인터넷자원] - / / Ultrasound and Magnetic Resonance Medical Images Textures Analysis Using Neural Networks
[학술지(정기간행물)] - M. Serdar Bascil / 2011 / A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm / J Med Syst 35 : 433 ~ 436
[학술지(정기간행물)] - Esin Dogantekin / 2009 / Automatic hepatitis diagnosis system based on linear discriminant analysis and adaptive network based on fuzzy inference system / Expert Systems with Applications 36 (8) : 11282 ~ 11286
[학술지(정기간행물)] - Tahseen A. Jilani / 2011 / PCA-ANN for Classification of Hepatitis-C Patients / International Journal of Computer Applications 14 (7)
[인터넷자원] - / / Ultrasound and Magnetic Resonance Medical Images Textures Analysis Using Neural Networks
[학술지(정기간행물)] - M. Serdar Bascil / 2011 / A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm / J Med Syst 35 : 433 ~ 436
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Pseudoinverse Matrix Decomposition Based Incremental Extreme Learning Machine with Growth of Hidden Nodes
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2016 .06
-
R-ELM을 이용한 K-pop 포인트 댄스 모션 분류
한국정보기술학회논문지
2017 .07
-
Extreme Learning Machine (ELM)을 활용한 건설현장 이미지 지역 분류
대한토목학회 학술대회
2015 .10
-
Small-signal Modeling of InP HBT based on PSO-ELM Neural Network
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE
2022 .12
-
ELM을 이용한 일별 태양광발전량 예측모델 개발
전기학회논문지 P
2015 .09
-
A Comparative Analysis of the Motion Recognition Rate by Direction of Push-up Activity Using ELM Algorithm
Journal of KIISE
2023 .12
-
상관성 분석과 ELM을 이용한 태양광 고장진단 알고리즘 개발
전기학회논문지 P
2016 .09
-
TSK 기반의 ELM 예측기를 이용한 에너지 효율 예측
공학기술논문지
2017 .06
-
Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures
Steel and Composite Structures, An International Journal
2019 .01
-
단기 전기부하 예측을 위한 TSK기반 ELM의 설계
Proceedings of KIIT Conference
2017 .06
-
Efficient Neural Network for Downscaling climate scenarios
한국수자원학회 학술발표회
2018 .01
-
Accelerating ELMs on the GPU Toward Real-Time Training on Large Scale Data Sets
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2015 .06
-
얼굴인식을 위한 ELM 기반 퍼지 패턴분류기
대한전기학회 학술대회 논문집
2015 .07
-
HOG와 OS 퍼지-ELM를 이용한 비전 기반 차량 검출 시스템
한국지능시스템학회 논문지
2015 .12
-
ELM 고열속 인가에 따른 텅스텐의 결정 성장 및 균열 발생 심화 관찰
한국표면공학회 학술발표회 초록집
2018 .11
-
Estimation of moment and rotation of steel rack connections using extreme learning machine
Steel and Composite Structures, An International Journal
2019 .01
-
An Improved Sample Balanced Genetic Algorithm and Extreme Learning Machine for Accurate Alzheimer Disease Diagnosis
Journal of Computing Science and Engineering
2016 .12
-
Two-dimensional measurements of the ELM filament using a multi-channel electrical probe array with high time resolution at the far SOL region in the KSTAR
Nuclear Engineering and Technology
2022 .10
-
ELM기반 Auto-encoder를 이용한 방사형 기저함수 신경회로망 패턴분류기 설계
정보 및 제어 논문집
2021 .04
-
군집화 알고리즘 및 모듈라 네트워크를 이용한 태양광 발전 시스템 모델링
전기학회논문지 P
2016 .06
이 논문의 저자 정보
이 논문과 함께 이용한 논문
시각장애인을 위한 딥러닝기반 심볼인식
박상헌
,
전태재
,
김상혁
외 2명
한국정보전자통신기술학회 논문지
2016
.06
딥러닝 기반의 공정 이상 탐지
이호엽
,
김영주
,
김창욱
대한산업공학회 춘계공동학술대회 논문집
2016
.04
Real-time Traffic Sign Recognition using Rotation-invariant Fast Binary Patterns
Min-Chul Hwang
,
Byoung Chul Ko
,
Jae-Yeal Nam
방송공학회논문지
2016
.07
딥러닝 프레임워크의 비교 : 티아노, 텐서플로, CNTK를 중심으로
정여진
,
안성만
,
양지헌
외 1명
지능정보연구
2017
.06
조명 영향 및 물체 형태 변형에 강인한 동적 물체 인식 시스템
김계경
,
강상승
,
김재홍
대한전자공학회 학술대회
2016
.06
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2017-560-000654688