292 related articles for article (PubMed ID: 32050578)
1. The Prediction of Human Abdominal Adiposity Based on the Combination of a Particle Swarm Algorithm and Support Vector Machine.
Gao X; Xie W; Chen S; Yang J; Chen B
Int J Environ Res Public Health; 2020 Feb; 17(3):. PubMed ID: 32050578
[No Abstract] [Full Text] [Related]
2. The construction of support vector machine classifier using the firefly algorithm.
Chao CF; Horng MH
Comput Intell Neurosci; 2015; 2015():212719. PubMed ID: 25802511
[TBL] [Abstract][Full Text] [Related]
3. An improved support vector machine-based diabetic readmission prediction.
Cui S; Wang D; Wang Y; Yu PW; Jin Y
Comput Methods Programs Biomed; 2018 Nov; 166():123-135. PubMed ID: 30415712
[TBL] [Abstract][Full Text] [Related]
4. Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM.
Zhu J; Yang L; Wang X; Zheng H; Gu M; Li S; Fang X
Int J Environ Res Public Health; 2022 Oct; 19(19):. PubMed ID: 36232168
[TBL] [Abstract][Full Text] [Related]
5. The Bi-Directional Prediction of Carbon Fiber Production Using a Combination of Improved Particle Swarm Optimization and Support Vector Machine.
Xiao C; Hao K; Ding Y
Materials (Basel); 2014 Dec; 8(1):117-136. PubMed ID: 28787927
[TBL] [Abstract][Full Text] [Related]
6. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
Zhang Y; Deng Q; Liang W; Zou X
Biomed Res Int; 2018; 2018():7538204. PubMed ID: 30228989
[TBL] [Abstract][Full Text] [Related]
7. A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China.
Yu X; Wang Y; Niu R; Hu Y
Int J Environ Res Public Health; 2016 May; 13(5):. PubMed ID: 27187430
[TBL] [Abstract][Full Text] [Related]
8. Rapid Screening of Thyroid Dysfunction Using Raman Spectroscopy Combined with an Improved Support Vector Machine.
Wang D; Jiang J; Mo J; Tang J; Lv X
Appl Spectrosc; 2020 Jun; 74(6):674-683. PubMed ID: 32031008
[TBL] [Abstract][Full Text] [Related]
9. [Non-destructive detection research for hollow heart of potato based on semi-transmission hyperspectral imaging and SVM].
Huang T; Li XY; Xu ML; Jin R; Ku J; Xu SM; Wu ZZ
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Jan; 35(1):198-202. PubMed ID: 25993848
[TBL] [Abstract][Full Text] [Related]
10. Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis.
Zhao D; Liu H; Zheng Y; He Y; Lu D; Lyu C
J Biomed Inform; 2019 Apr; 92():103124. PubMed ID: 30796977
[TBL] [Abstract][Full Text] [Related]
11. [Study on application of SVM in prediction of coronary heart disease].
Zhu Y; Wu J; Fang Y
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2013 Dec; 30(6):1180-5. PubMed ID: 24645592
[TBL] [Abstract][Full Text] [Related]
12. A novel multiinstance learning approach for liver cancer recognition on abdominal CT images based on CPSO-SVM and IO.
Jiang H; Zheng R; Yi D; Zhao D
Comput Math Methods Med; 2013; 2013():434969. PubMed ID: 24368931
[TBL] [Abstract][Full Text] [Related]
13. Pulmonary Nodule Recognition Based on Multiple Kernel Learning Support Vector Machine-PSO.
Li Y; Zhu Z; Hou A; Zhao Q; Liu L; Zhang L
Comput Math Methods Med; 2018; 2018():1461470. PubMed ID: 29853983
[TBL] [Abstract][Full Text] [Related]
14. Cervical cell recognition based on AGVF-Snake algorithm.
Dong N; Zhao L; Wu A
Int J Comput Assist Radiol Surg; 2019 Nov; 14(11):2031-2041. PubMed ID: 30968354
[TBL] [Abstract][Full Text] [Related]
15. Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging.
Geng D; Zhao J; Dong J; Jiang X
Technol Health Care; 2019; 27(S1):143-151. PubMed ID: 31045534
[TBL] [Abstract][Full Text] [Related]
16. Multiplex protein pattern unmixing using a non-linear variable-weighted support vector machine as optimized by a particle swarm optimization algorithm.
Yang Q; Zou HY; Zhang Y; Tang LJ; Shen GL; Jiang JH; Yu RQ
Talanta; 2016 Jan; 147():609-14. PubMed ID: 26592652
[TBL] [Abstract][Full Text] [Related]
17. Feature Selection and Parameters Optimization of Support Vector Machines Based on Hybrid Glowworm Swarm Optimization for Classification of Diabetic Retinopathy.
Karthikeyan R; Alli P
J Med Syst; 2018 Sep; 42(10):195. PubMed ID: 30209620
[TBL] [Abstract][Full Text] [Related]
18. Support vector machine based diagnostic system for breast cancer using swarm intelligence.
Chen HL; Yang B; Wang G; Wang SJ; Liu J; Liu DY
J Med Syst; 2012 Aug; 36(4):2505-19. PubMed ID: 21537848
[TBL] [Abstract][Full Text] [Related]
19. A Sensor Dynamic Measurement Error Prediction Model Based on NAPSO-SVM.
Jiang M; Jiang L; Jiang D; Li F; Song H
Sensors (Basel); 2018 Jan; 18(1):. PubMed ID: 29342942
[TBL] [Abstract][Full Text] [Related]
20. [Rule induction algorithm for brain glioma using support vector machine].
Li G; Yang J; Wang J; Geng D
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2006 Apr; 23(2):410-2. PubMed ID: 16706378
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
