Wang, Qiaoyun, Song, Shuai, Li, Lei, Wen, Da, Shan, Peng, Li, Zhigang and Fu, Yong Qing (2023) An Extreme Learning Machine optimized by Differential Evolution and Artificial Bee Colony for Predicting the Concentration of Whole Blood with Fourier Transform Raman Spectroscopy. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 292. p. 122423. ISSN 1386-1425
|
Text
Spectrochimica_Acta_Part_A_accepted_paper_2023.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (994kB) | Preview |
Official URL: https://doi.org/10.1016/j.saa.2023.122423
| Item Type: | Article |
|---|---|
| Additional Information: | Funding information: This work was supported by the National Natural Science Foundation of China (NFSC 11404054, 61601104), the Natural Science Foundation of Hebei Province (F2019501025, F2020501040), the Fundamental Research Fund s for the Northeastern Universities (N2023006), and International Exchange Grant (IEC/NSFC/201078) through Royal Society and NFSC. |
| Uncontrolled Keywords: | Extreme Learning Machine, Raman spectroscopy, Artificial Bee Colony algorithm, Self-Adaption Differential Evolution, blood detection |
| Subjects: | G900 Others in Mathematical and Computing Sciences H600 Electronic and Electrical Engineering H800 Chemical, Process and Energy Engineering |
| Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
| Depositing User: | Rachel Branson |
| Date Deposited: | 02 Feb 2023 13:52 |
| Last Modified: | 02 Feb 2024 03:45 |
| URI: | https://nrl.northumbria.ac.uk/id/eprint/51299 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
