171
Views
5
CrossRef citations to date
0
Altmetric
Research Article

A data classification method based on particle swarm optimisation and kernel function extreme learning machine

, &
Article: 1913764 | Received 22 Sep 2020, Accepted 04 Apr 2021, Published online: 10 May 2021

References

  • Alcin, O. F., A. Sengur, S. Ghofrani, and M. C. Ince. 2014. “GA-SELM: Greedy Algorithms for Sparse Extreme Learning Machine.” Measurement 55: 126–344. doi:10.1016/j.measurement.2014.04.012.
  • Alexandros, I., T. Anastasios, and P. Ioannis. 2017. “Approximate Kernel Extreme Learning Machine for Large Scale Data Classification.” Neurocomputing 219: 210–229.
  • B, G. D. L. A., Y. C. L. C, Z. C. Wei, and Z. A. D. Le. 2020. “A Brief Review of Artificial Intelligence Applications and Algorithms for Psychiatric Disorders.” Engineering 6 (4): 462–467. doi:10.1016/j.eng.2019.06.008.
  • Bai, X., F. Kong, and H. B. T. Zhao-2018 C. A. C. (CAC). 2018. “Classification and Forecasting for Enterprise Data”, Xian, China.
  • Deng, C. W., H. G. Bin, X. U. Jia, and J. X. Tang. 2015. “Extreme Learning Machines: New Trends and Applications.” Science China, no. 2: 5–20. doi:10.1007/s11432-014-5269-3
  • Deng, W., Q. Zheng, and L. Chen. 2009. Regularized Extreme Learning Machine, 389–395. CIDM '09. IEEE Symposium on. IEEE, 2009.
  • Dincer, C., and E. B. T. Zeydan-I. I. B. S. C. on C. and N. (BlackSeaCom 2017). 2018. “Big Data Security: Requirements, Challenges and Preservation of Private Data inside Mobile Operators”. IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom 2017), IEEE, 2017.
  • Dong, J. J. D., W. W., E. M. M., P. Y., L. Z. M., and Z. W. 2013. “Refining Design of Superconducting Magnets Synchronous with Winding Using Particle Swarm Optimization.” Physica. C, Superconductivity 488: 14–17. doi:10.1016/j.physc.2013.02.009
  • Eberhart, R., and J. B. T. Kennedy-M. S. I. S. on M. M. & H. S. 2002. “A New Optimizer Using Particle Swarm Theory”. New York, NY, USA.
  • Feng, Y., G. Wang, Z. Liu, R. Feng, X. Chen, and N. Tai. 2019. “An Unknown Radar Emitter Identification Method Based on Semi-Supervised and Transfer Learning.” Algorithms 12 (12): 271. doi:10.3390/a12120271.
  • Gomez Saez, S., V. Andrikopoulos, F. Leymann, and S. Strauch. 2014. Evaluating Caching Strategies for Cloud Data Access Using an Enterprise Service Bus. 2014 IEEE International Conference on Cloud Engineering. IEEE, 2014.
  • Huang, D. S., K. H. Jo, Y. Q. Zhou, and K. Han. 2010. Intelligent Computing Theories and Technology. Berlin Heidelberg: Springer.
  • Huang, G.-B., Q.-Y. Zhu, and C.-K. Siew. 2006. Extreme Learning Machine: Theory and Applications. Neurocomputing, 2006, 70(1/3): 489–501.
  • Huynh, H. T., and Y. Won. 2007. “Hematocrit Estimation from Transduced Current Patterns Using Single Hidden Layer Feedforward Neural Networks”. IEEE.
  • Jiang, Y., Y. Shen, Y. Liu, and Weicong. 2015. “Multiclass AdaBoost ELM and Its Application in LBP Based Face Recognition.” Mathematical Problems in Engineering 2014:1–9. doi:10.1155/2015/918105.
  • Jing, Z., and Z. Zhang. 2012. “Improved Particle Swarm Optimization Algorithm and Its Application to Global Optimization for Complex Function”.
  • Kapil, S., M. Chawla, and B. T. M. D.-2016 F. I. C. on P. 2017. “On K-means Data Clustering Algorithm with Genetic Algorithm”, Waknaghat, India.
  • Karim, A. M., M. S. Guzel, M. R. Tolun, H. Kaya, and F. V. Celebi. 2018. “A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing.” Mathematical Problems in Engineering 2018 (PT.6): 1–13. doi:10.1155/2018/3145947.
  • Li, B., S. Verhagen, and P. B. T.-P. of C. 2013. 2013. “Lecture Notes in Electrical Engineering”, Wuhan, China.
  • Li, K., Y. Wu, Y. Nan, P. Li, and Y. Li. 2017. “Hierarchical Multi-class Classification in Multimodal Spacecraft Data Using DNN and Weighted Support Vector Machine.” Neurocomputing 259 (oct.11): 55–65. doi:10.1016/j.neucom.2016.08.131.
  • Li, S., and W. Sun. 2020. “Utility Maximisation for Resource Allocation of Migrating Enterprise Applications into the Cloud.” Enterprise Information Systems, no. 4: 1–33.
  • Li, X., Y. Fang, and L. Liu. 2020. “Kernel Extreme Learning Machine for Flatness Pattern Recognition in Cold Rolling Mill Based on Particle Swarm Optimization.” Journal of the Brazilian Society of Mechanical Sciences and Engineering 42 (5). doi:10.1007/s40430-020-02357-8.
  • Liu, F., G. Li, S. Yang, W. Yan, G. He, and L. Lin. 2020. “Recognition of Heterogeneous Edges in Multiwavelength Transmission Images Based on the Weighted Constraint Decision Method.” Applied Spectroscopy 74 (8): 883–893. doi:10.1177/0003702820908951.
  • Liu, W., J. Zhu, Y. Hu, and W. B. T. Wang I. W. on E. T. & T. & I. W. on G. & R. S. (2008). “Dynamic Analysis of Ecological Footprint in Liaoning Coastal Economic Zone”, Shanghai, China, 516–519.
  • Ma, C., W. Hao, R. He, and B. Moghimi. 2018. “A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation.” Discrete Dynamics in Nature and Society 2018: 1–12.
  • Nazmul, H. M., N. Nasimul, B. Regina, M. Pablo, and H. A. Kestler. 2016. “Heterogeneous Ensemble Combination Search Using Genetic Algorithm for Class Imbalanced Data Classification.” Plos One 11 (1): e0146116. doi:10.1371/journal.pone.0146116.
  • Ombabi, A. H., O. Lazzez, W. Ouarda, and A. M. B. T. Alimi S. C. on C. S. & I. T. 2017. “Deep Learning Framework Based on Word2Vec and CNNfor Users Interests Classification”, Elnihood, Sudan.
  • Pourpanah, F., C. P. Lim, and J. M. Saleh. 2016. “A Hybrid Model of Fuzzy ARTMAP and Genetic Algorithm for Data Classification and Rule Extraction.” Expert Systems with Applications 49: 74–85. doi:10.1016/j.eswa.2015.11.009.
  • Roy, S., S. Matloob, A. Seetharam, A. Rameshbabu, W. C. O’Dell, and W. I. Davis. 2017. “Biometrics Data Security Techniques for Portable Mobile Devices.” Inae Letters 2 (3): 123–131. doi:10.1007/s41403-017-0026-8.
  • Sachar, P., and V. B. T. Khullar I. C. on C. C. & I. (2017). “Social Media Generated Big Data Clustering Using Genetic Algorithm”, Coimbatore, India.
  • Sheth, A., and K. Thirunarayan. 2013. Semantics Empowered Web 3.0: Managing Enterprise, Social, Sensor, and Cloud-based Data and Services for Advanced Applications.  Morgan & Claypool. doi:10.2200/S00433ED1V01Y201207DTM031
  • Sun, X., A. Liu, H. C. Chao, and E. Bertino. 2016. Cloud Computing and Security. ICCCS 2016, Nanjing, China. Springer International Publishing.
  • Thammasakorn, C., S. Chiewchanwattana, and K. B. T. Sunat-2018 10th I. C. on I. T. and E. E. (ICITEE). 2018. “Optimizing Weighted ELM Based on Gray Wolf Optimizer for Imbalanced Data Classification”, Bali, Indonesia.
  • Tu, D. N., V. Nguyen, T. Le, and D. B. T. Phung-2016 23rd I. C. on P. R. (ICPR). 2017. “Distributed Data Augmented Support Vector Machine on Spark”, Cancun, Mexico.
  • Utkin, L. V., and Y. A. Zhuk. 2017. “An One-class Classification Support Vector Machine Model by Interval-valued Training Data.” Knowledge-Based Systems 120: 43–56. doi:10.1016/j.knosys.2016.12.022.
  • Vakili, M., M. Ghamsari, and M. Rezaei (2020). “Performance Analysis and Comparison of Machine and Deep Learning Algorithms for IoT Data Classification”.
  • Venkatakrishnan, V., and R. Krishnasamy. 2013. “SU-E-E-03: Through the Looking Glass: Customized MOC(Maintenance of Certificate) through Self Improvement Module (SIM) Using Cloud Computing.” Medical Physics 40 (6Part4): 118. doi:10.1118/1.4814071.
  • Wang, C., C. Liu, L. Zhang, H. Sun, and L. B. T. Qi 2017 I. I. C. on R. and B. (ROBIO). 2018. “Optimized Scheduling in Reentrant Robotic Cell with Dual-gripper Robot and Parallel Lines”, Macau, Macao.
  • Wu, S., and W. Cao. 2019. “Parametric Model for Microwave Filter by Using Multiple Hidden Layer output Matrix Extreme Learning Machine.” IET Microwaves, Antennas & Propagation 13 (11): 1889–1896. doi:10.1049/iet-map.2018.5823.
  • Xie, G. Q. B. T. I. C. on C. 2011. “The Optimization of Share Price Prediction Model Based on Support Vector Machine”, Singapore.
  • Yan, K., Z. Ji, H. Lu, J. Huang, W. Shen, and Y. Xue. 2017. “Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units.” IEEE Transactions on Systems Man & Cybernetics Systems 49: 1349–1356.
  • Yen, D., C. Chen, S. Patrick, and Shu-Chiung. 2015. “The Classification of Information Assets and Risk Assessment: An Exploratory Study Using the Case of C-Bank.” Journal of Global Information Management, 23(4). doi:10.4018/JGIM.2015100102.
  • Yin, C., S. Zhang, J. Xi, and J. Wang. 2017. “An Improved Anonymity Model for Big Data Security Based on Clustering Algorithm.” Concurrency & Computation Practice & Experience 29 (7): e3902. doi:10.1002/cpe.3902.
  • Yu, H., X. Sun, and J. Wang. 2019. “Ensemble OS-ELM Based on Combination Weight for Data Stream Classification.” Applied Intelligence 49 (6): 2382–2390. doi:10.1007/s10489-018-01403-2.
  • Yu, P., M. Youliang, and D. Xu. 2014. “Presentation of Telecom Operators Enterprise Data Classification System.” Designing Techniques of Posts and Telecommunications.
  • Zardari, M. A., L. T. Jung, and M. N. B. B. T. Zakaria-I. C. on A. C. S. A. & T. (2014). “Hybrid Multi-cloud Data Security (HMCDS) Model and Data Classification”, Kuching, Malaysia.
  • Zhang, J., and Y. Kai. 2020. “Optimization Algorithm of Fireworks Explosion Based on Elevator.” Journal of Physics. Conference Series 1486: 32014. doi:10.1088/1742-6596/1486/3/032014.
  • Zhang, Y., Y. Zhao, X. Fu, and J. Xu. 2016. “A Feature Extraction Method of the Particle Swarm Optimization Algorithm Based on Adaptive Inertia Weight and Chaos Optimization for Brillouin Scattering Spectra.” Optics Communications 376: 56–66. doi:10.1016/j.optcom.2016.04.049.
  • Zhao, Z., J. Huang, M. Xu, R. Liu, and J. B. T. Wang-2018 I. I. C. on B. and B. (BIBM). 2018. “A Computational Method for Detecting the Associations between Multiple Loci and Phenotypes”, Madrid, Spain.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.