These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
300 related articles for article (PubMed ID: 35680742)
1. Fractal adaptive weight synthesized-local directional pattern-based image classification using enhanced tree seed algorithm. Ganesan A; Santhanam SM Environ Sci Pollut Res Int; 2022 Nov; 29(51):77462-77481. PubMed ID: 35680742 [TBL] [Abstract][Full Text] [Related]
2. A novel algorithm with differential evolution and coral reef optimization for extreme learning machine training. Yang Z; Zhang T; Zhang D Cogn Neurodyn; 2016 Feb; 10(1):73-83. PubMed ID: 26834862 [TBL] [Abstract][Full Text] [Related]
3. Tuning extreme learning machine by an improved electromagnetism-like mechanism algorithm for classification problem. Zhang MY; Wu Q; Xu ZZ Math Biosci Eng; 2019 May; 16(5):4692-4707. PubMed ID: 31499684 [TBL] [Abstract][Full Text] [Related]
4. Medical Dataset Classification: A Machine Learning Paradigm Integrating Particle Swarm Optimization with Extreme Learning Machine Classifier. Subbulakshmi CV; Deepa SN ScientificWorldJournal; 2015; 2015():418060. PubMed ID: 26491713 [TBL] [Abstract][Full Text] [Related]
5. [Drug discrimination by near infrared spectroscopy based on summation wavelet extreme learning machine]. Liu ZB; Jiang SJ; Yang HH; Zhang XB Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Oct; 34(10):2815-20. PubMed ID: 25739231 [TBL] [Abstract][Full Text] [Related]
6. Study on the Classification Method of Rice Leaf Blast Levels Based on Fusion Features and Adaptive-Weight Immune Particle Swarm Optimization Extreme Learning Machine Algorithm. Zhao D; Feng S; Cao Y; Yu F; Guan Q; Li J; Zhang G; Xu T Front Plant Sci; 2022; 13():879668. PubMed ID: 35599890 [TBL] [Abstract][Full Text] [Related]
7. Multi-Swarm Algorithm for Extreme Learning Machine Optimization. Bacanin N; Stoean C; Zivkovic M; Jovanovic D; Antonijevic M; Mladenovic D Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684824 [TBL] [Abstract][Full Text] [Related]
8. Research on Coal Dust Wettability Identification Based on GA-BP Model. Zheng H; Shi S; Jiang B; Zheng Y; Li S; Wang H Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612944 [TBL] [Abstract][Full Text] [Related]
9. Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees. Anam K; Al-Jumaily A Neural Netw; 2017 Jan; 85():51-68. PubMed ID: 27814466 [TBL] [Abstract][Full Text] [Related]
10. An improvement of extreme learning machine for compact single-hidden-layer feedforward neural networks. Huynh HT; Won Y; Kim JJ Int J Neural Syst; 2008 Oct; 18(5):433-41. PubMed ID: 18991365 [TBL] [Abstract][Full Text] [Related]
11. An Expert Diagnosis System for Parkinson Disease Based on Genetic Algorithm-Wavelet Kernel-Extreme Learning Machine. Avci D; Dogantekin A Parkinsons Dis; 2016; 2016():5264743. PubMed ID: 27274882 [TBL] [Abstract][Full Text] [Related]
12. An Improved Pathological Brain Detection System Based on Two-Dimensional PCA and Evolutionary Extreme Learning Machine. Nayak DR; Dash R; Majhi B J Med Syst; 2017 Dec; 42(1):19. PubMed ID: 29218420 [TBL] [Abstract][Full Text] [Related]
13. Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines. Abuassba AOM; Zhang D; Luo X; Shaheryar A; Ali H Comput Intell Neurosci; 2017; 2017():3405463. PubMed ID: 28546808 [TBL] [Abstract][Full Text] [Related]
14. Extreme Learning Machine for Multilayer Perceptron. Tang J; Deng C; Huang GB IEEE Trans Neural Netw Learn Syst; 2016 Apr; 27(4):809-21. PubMed ID: 25966483 [TBL] [Abstract][Full Text] [Related]
15. Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. Kuppili V; Biswas M; Sreekumar A; Suri HS; Saba L; Edla DR; Marinho RT; Sanches JM; Suri JS J Med Syst; 2017 Aug; 41(10):152. PubMed ID: 28836045 [TBL] [Abstract][Full Text] [Related]
16. Combining a gravitational search algorithm, particle swarm optimization, and fuzzy rules to improve the classification performance of a feed-forward neural network. Huang ML; Chou YC Comput Methods Programs Biomed; 2019 Oct; 180():105016. PubMed ID: 31442736 [TBL] [Abstract][Full Text] [Related]
17. Extreme learning machine and adaptive sparse representation for image classification. Cao J; Zhang K; Luo M; Yin C; Lai X Neural Netw; 2016 Sep; 81():91-102. PubMed ID: 27389571 [TBL] [Abstract][Full Text] [Related]
18. The Applications of Metaheuristics for Human Activity Recognition and Fall Detection Using Wearable Sensors: A Comprehensive Analysis. Al-Qaness MAA; Helmi AM; Dahou A; Elaziz MA Biosensors (Basel); 2022 Oct; 12(10):. PubMed ID: 36290958 [TBL] [Abstract][Full Text] [Related]
19. High-precision prediction of blood glucose concentration utilizing Fourier transform Raman spectroscopy and an ensemble machine learning algorithm. Song S; Wang Q; Zou X; Li Z; Ma Z; Jiang D; Fu Y; Liu Q Spectrochim Acta A Mol Biomol Spectrosc; 2023 Dec; 303():123176. PubMed ID: 37494812 [TBL] [Abstract][Full Text] [Related]
20. Birdsongs recognition based on ensemble ELM with multi-strategy differential evolution. Xie S; Zhang Y; Lv D; Xu H; Liu J; Yin Y Sci Rep; 2022 Jun; 12(1):9739. PubMed ID: 35697771 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]