% [3] Yang, Hui. “Mining Nonlinear Dynamics in Operational Data for Process Improvement.” Tutorials in Operations Research: Advancing the Frontiers of OR/MS: From Methodologies to Applications, INFORMS, 2023, pp. 109–32, doi:10.1287/educ.2023.0261.
引用格式
Hui Yang (2026). Cross recurrence plot and quantification analysis -CRP, CRQA (https://ww2.mathworks.cn/matlabcentral/fileexchange/100164-cross-recurrence-plot-and-quantification-analysis-crp-crqa), MATLAB Central File Exchange.
检索时间: .
Meyers, Adam, et al. “Cross-Recurrence Analysis for Pattern Matching of Multidimensional Physiological Signals.” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 30, no. 12, AIP Publishing, Dec. 2020, doi:10.1063/5.0030838.
Meyers, Adam, et al. “Cross-Recurrence Analysis for Pattern Matching of Multidimensional Physiological Signals.” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 30, no. 12, AIP Publishing, Dec. 2020, doi:10.1063/5.0030838.
APA
Meyers, A., Buqammaz, M., & Yang, H. (2020). Cross-recurrence analysis for pattern matching of multidimensional physiological signals. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(12). AIP Publishing. Retrieved from http://dx.doi.org/10.1063/5.0030838
BibTeX
@article{Meyers_2020, title={Cross-recurrence analysis for pattern matching of multidimensional physiological signals}, volume={30}, ISSN={1089-7682}, url={http://dx.doi.org/10.1063/5.0030838}, DOI={10.1063/5.0030838}, number={12}, journal={Chaos: An Interdisciplinary Journal of Nonlinear Science}, publisher={AIP Publishing}, author={Meyers, Adam and Buqammaz, Mohammed and Yang, Hui}, year={2020}, month=dec }
Yang, Hui. “Mining Nonlinear Dynamics in Operational Data for Process Improvement.” Tutorials in Operations Research: Advancing the Frontiers of OR/MS: From Methodologies to Applications, INFORMS, 2023, pp. 109–32, doi:10.1287/educ.2023.0261.
Yang, Hui. “Mining Nonlinear Dynamics in Operational Data for Process Improvement.” Tutorials in Operations Research: Advancing the Frontiers of OR/MS: From Methodologies to Applications, INFORMS, 2023, pp. 109–32, doi:10.1287/educ.2023.0261.
APA
Yang, H. (2023). Mining Nonlinear Dynamics in Operational Data for Process Improvement. In Tutorials in Operations Research: Advancing the Frontiers of OR/MS: From Methodologies to Applications (pp. 109–132). INFORMS. Retrieved from http://dx.doi.org/10.1287/educ.2023.0261
BibTeX
@inbook{Yang_2023, title={Mining Nonlinear Dynamics in Operational Data for Process Improvement}, ISBN={9798988285618}, url={http://dx.doi.org/10.1287/educ.2023.0261}, DOI={10.1287/educ.2023.0261}, booktitle={Tutorials in Operations Research: Advancing the Frontiers of OR/MS: From Methodologies to Applications}, publisher={INFORMS}, author={Yang, Hui}, year={2023}, month=oct, pages={109–132} }
Added a video on conference presentation on "Cross Recurrence Analysis for Pattern Matching of Multidimensional Physiological Signals," Chaos: An Interdisciplinary Journal of Nonlinear Science (Feature Article), DOI: 10.1063/5.0030838