科研成果
论文论著
当前位置: 网站首页> 科研成果> 论文论著> 正文

2021年重点实验室发表的代表性论文

发布时间 :2022-01-10 来源: 重点实验室 已浏览:

[1] Zhang J, Luan XL and Liu F. Multi-manifold NIRS modelling via stacked contractive auto-encoders.Canadian Journal of Chemical Engineering, 2021, 99(6): 1363-1373.

[2] Gao S, Zhao SY, Luan XL and Liu F. Intelligent state estimation for continuous fermenters using variational bayesian learning[J].IEEE Transactions on Industrial Informaics, 2021, 17 (12): 8429-8437.

[3] Zhao SY, Huang B, Zhao CH. Online Probabilistic Estimation of Sensor Faulty Signal in Industrial Processes and Its Applications.IEEE Transactions on Industrial Electronics, 2021, 68(9): 8853-8862.

[4] Zhao SY, Shmaily YS, Andrade-JA, Liu F. Multipass Optimal FIR Filtering for Processes With Unknown Initial States and Temporary Mismatches.IEEE Transactions on Industrial Informatics, 2021, 17(8): 5360-5368.

[5] Zhao SY, Shmaily YS, Ahn CK, Liu F. Self-Tuning Unbiased Finite Impulse Response Filtering Algorithm for Processes With Unknown Measurement Noise Covariance.IEEE Transactions on Control Systems Technology, 2021, 29(3): 1372-1379.

[6] Zhao SY, Shmaily YS, Andrade-JA. Optimal FIR Filter for Discrete-Time LTV Systems and Fast Iterative Algorithm.IEEE Transactions on Circuits and Systems Ii-Express Briefs, 2021, 68(4): 1527-1531.

[7] Li K, Zhang TY, Zhao SY, Liu F. Suboptimal Bayesian state estimators for linear high-dimensional dynamic processes.Journal of Process Control, 2021, 1132-1142.

[8] Zhou YH, Zhang X, Ding F. Hierarchical estimation approach for RBF-AR models with regression weights based on the increasing data length.IEEE Transactions on Circuits and Systems—II: Express Briefs, 2021, 68(12): 3597-3601.

[9] Xu C, Zhao SY, Ma YJ, Huang B, Liu F, Luan XY. Sensor fault estimation in a probabilistic framework for industrial processes and its applications.IEEE Transactions on Industrial Informatics, 2021, DOI: 10.1109/TII.2021.3063838.

[10] Xiong W, Sun W. Dynamic Soft Sensor Modeling for Time Sequence Data Based on Convolution Filters.IEEE Transactions on Control Systems Technology, 2021, 29(6): 2696-2703.

[11] Ding F, Ma H, Pan J, Yang EF. Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation. Journal of the Franklin Institute, 2021, 358(9): 5113-5135.

[12] Fan SJ, Xu L, Ding F, Alsaedi A, Hayat T. Correlation analysis-based stochastic gradient and least squares identification methods for errors-in-variables systems using the multi-innovation. International Journal of Control Automation and Systems, 2021, 19(1): 289-230.

[13] Li JM, Ding F. Identification methods of nonlinear systems based on the kernel functions. Nonlinear Dynamics, 2021, 104(3): 2537-2552.

[14] Li JM, Ding F, Yang EF. Identification of the nonlinear systems based on the kernel functions. International Journal of Robust and Nonlinear Control, 2021, 31(14): 6917-6933.

[15] Liu SY, Ding F, Yang EF. Iterative state and parameter estimation algorithms for bilinear state-space systems by using the block matrix inversion and the hierarchical principle. Nonlinear Dynamics, 2021, 106(3): 2183-2202.

[16] Liu SY, Zhang YL, Xu L, Ding F, Alsaedi A, Hayat T. Extended gradient-based iterative algorithm for bilinear state-space systems with moving average noises by using the filtering technique. International Journal of Control Automation and Systems, 2021, 19(4): 1597-1606.

[17] Liu QL, Xiao YS, Ding F, Hayat T. Decomposition-based over-parameterization forgetting factor stochastic gradient algorithm for Hammerstein-Wiener nonlinear systems with non-uniform sampling. International Journal of Robust and Nonlinear Control, 2021, 31(12): 6007-6024.

[18] Liu QL, Chen FY, Ding F, Alsaedi A, Hayat T. Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling. International Journal of Adaptive Control and Signal Processing, 2021, 35(8): 1612-1632.

[19] Liu QL, Ding F. Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein-Wiener system based on the key-term separation. International Journal of Adaptive Control and Signal Processing, 2021, 35(10): 1970-1989.

[20] Ma H, Ding F, Wang Y. Multi-innovation Newton recursive methods for solving the support vector machine regression problems. International Journal of Robust and Nonlinear Control, 2021, 31(15): 7239-7260.

[21] Ni JY, Zhang YL, Ding F, Zhan XS, Hayat T. Parameter estimation algorithms of linear systems with time-delays based on the frequency responses and harmonic balances under the multi-frequency sinusoidal signal excitation. Signal Processing, 2021, 181: Artcile Number: 107904.

[22] Wang X, Ding F, Alsaedi A, Hayat T. Auxiliary model-based iterative parameter estimation for a nonlinear output-error system with saturation and dead-zone nonlinearity. International Journal of Robust and Nonlinear Control, 2021, 31(9): 4262-4286.

[23] Xu H, Ding F, Yang EF. Three-stage multi-innovation parameter estimation for an exponential autoregressive time-series model with moving average noise by using the data filtering technique. International Journal of Robust and Nonlinear Control, 2021, 31(1): 166-184.

[24] Xu H, Ding F, Gan M, Alsaedi A, Hayat T. Parameter estimation for an exponential autoregressive time series model by the Newton search and multi-innovation theory. International Journal of Systems Science, 2021, 52(12): 2630-2645.

[25] Xu L, Ding F, Yang EF. Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems. International Journal of Robust and Nonlinear Control, 2021, 31(1): 148-165.

[26] Zhou YH, Wang YJ, Ma FY, Ding F, Hayat T. Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises. Journal of the Franklin Institute, 2021, 358(4): 2576-2595.

[27] Zhou YH, Ding F, Alsaedi A, Hayat T. Aitken-based acceleration estimation algorithms for a nonlinear model with exponential terms by using the decomposition. International Journal of Control Automation and Systems, 2021, 19(11): 3720-3730.

[28]刘艳君,韩萍,马君霞.基于Householder变换的贪婪正交最小二乘辨识算法.控制与决策, 2021. https://doi.org/10.13195/j.kzyjc.2020.1650.

[29]张霄,丁锋.双线性状态空间系统的状态观测器设计.控制与决策, 2021.

[30]平晓静,赵顺毅,栾小丽,刘飞.基于迁移学习的有机硅单体分馏过程能耗建模.化工学报, 2020, 71(12): 5706-5714.

[31] Zhao SY, Shmaily YS, Andrade-JA. Backward optimal FIR filtering and recursive forms for discrete LTV processes. Signal Processing, 2021, 80: 107857.

[32] Li K, Zhao SY, Ahn CK, Liu F. State estimation for jump markov nonlinear systems of unknown measurement data covariance. Journal of the Franklin Institute-Engineering and Applied Mathematics, 2021, 358(2): 1673-1691.

[33] Shen FF, Xu C, Yang HZ. Multimode process monitoring using adaptive auto-associative kernel regression. Asia-Pacific Journal of Chemical Engineering, 2021, 16(5): e2693.

[34] Xu C, Mao YW. Auxiliary model-based multi-innovation fractional stochastic gradient algorithm for Hammerstein output-error systems. Machines, 2021, DOI: 10.3390/machines9110247.

[35] Xu C, Mao YW, Chen HT, Tao HF, Liu F. Skew t distribution-based nonlinear filter with asymmetric measurement noise using variational Bayesian inference. Computer Modeling in Engineering & Sciences, 2021, DOI:10.32604/cmes.2021.019027.

[36] Tao HF, Li XH, Paszke W, Stojanovic V, Yang HZ. Robust PD-type iterative learning control for discrete systems with multiple time-delays subjected to polytopic uncertainty and restricted frequency-domain. Multidimensional Systems and Signal Processing, 2021, 32(2): 671-692.

[37] Tao HF, Zhou LH, Hao SL, Paszke W, Yang HZ. Output feedback based PD-type robust iterative learning control for uncertain spatially interconnected systems. International Journal of Robust and Nonlinear Control, 2021, 31(12): 5962-5983.

[38]陆鑫涛,陶洪峰,杨慧中,陈刚.基于温湿度补偿的低功耗燃气井监测系统设计.仪表技术与传感器, 2021, (10): 80-84+108.

[39]潘雅璞,谢莉,杨慧中.基于KRLS的非均匀采样非线性系统辨识.控制与决策, 2021, 36(12): 3049-3055.

[40]刘聪,谢莉,杨慧中.基于改进DPC的青霉素发酵过程多模型软测量建模.化工学报, 2021, 72(3): 1606-1615.

[41]刘亚楠,杨慧中.溶液pH对基于金属钼的磷酸根ISE测量性能的影响.传感器与微系统, 2021, 40(8): 42-45+49.

[42]陶洪峰,李健,杨慧中.输入约束不确定系统的点对点迭代学习控制与优化.控制与决策, 2021, 36(6): 1435-1441.

[43]汪磊,杨慧中,陶洪峰.有限频域线性重复过程的动态迭代学习控制.控制与决策, 2021, 36(3): 599-608.

[44]宗原,刘登峰,刘以安.基于改进蚁狮优化算法的黄酒发酵过程模型的参数辨识.食品与发酵工业, 2021, 47(2): 153-159.

[45] Wan HY, Luan XL, Karimi HR, Liu F. Dynamic self-triggered controller codesign for Markov jump systems.IEEE Transactions on Automatic Control, 2021, 66(3): 1353-1360.

[46] Liu ZY, Zhao SY, Luan XL, Liu F. Online state and inputs identification for stochastic systems using recursive expectation-maximization algorithm.Chemometrics and Intelligent Laboratory Systems, 2021, 217: 104403.

[47] Zhao X, Zhao XK, Huang M, Zhu QB. An uncertainty sampling strategy based model updating method for soluble solid content and firmness prediction of apples from different years.Chemometrics and Intelligent Laboratory Systems, 2021, 217: 104426.

[48] Li GX, Du MG, Yang J, Luan XL, Liu LQ, Liu F. Label-free rapid detection of invasives cerevisiae infections with optically induced dielectrophoresis-based micromanipulation and graphene transistor.IEEE Sensors Journal, 2021, 21(13): 14627-14635.

[49] Li GX, Lu ZL, Luan XL, Wang ZG, Liu F, Liu LQ. Measurement method of akkermansia muciniphila by graphene-based transistor for diseases diagnosis.IEEE Transactions on Nanotechnology, 2021, 20(1): 332-337.

[50] Ding ZQ, Du MG, Liu F, Li GX. Label‑free rapid isolation of saccharomyces cerevisiae with optically induced dielectrophoresis‑based automatic micromanipulation. Biomedical Microdevices, 2021.

[51]栾小丽,刘晓凤,刘飞.基于互信息操作变量曲线参数化的间歇过程批内修正优化.控制与决策, 2021, 36(1): 234-240.

[52] He P, Wen JW, Luan XL, Liu F. Finite-time self-triggered model predictive control of discrete-time Markov jump linear systems. International Journal of Robust and Nonlinear Control, 2021, 31(13): 6166-6178.

[53] Zhou ZH, Luan XL, Liu F. Finite-time higher-order moment state estimation for Markov jump linear system with time-correlated measurement noise. Transactions of the Institute of Measurement and Control, 2021, 43(9): 2103-2110.

[54] Chen YG, Wen JW, Luan XL, Liu F. H-infinity optimal control for semi-Markov jump linear systems via TP-free temporal difference (lambda) learning. Journal of Robust and Nonlinear Control, 2021, 31(13): 6166-6178.

[55]郑静,熊伟丽.基于互信息的多块k近邻故障监测及诊断.智能系统学报, 2021, 16(04): 717-728.

[56]吴晓东,熊伟丽.基于多块信息提取和马氏距离的k近邻故障监测.信息与控制, 2021, 50(3): 287-296.

[57]赵杨,熊伟丽.基于多策略自适应差分进化算法的污水处理过程多目标优化控制.化工学报, 2021, 72(4): 2167-2177.

[58] Zhou HY, Huang M, Zhu QB, Zhang M. Developing C-LSTM model for evaluating moisture content of carrot slices during drying. Drying Technology, 2021, 10, Doi: 10.1080/07373937.2021.1983822.

[59] Li XC, Liu ZF, Huang M, Zhu QB. Line-scan Raman scattering image and multivariate analysis for rapid and noninvasive detection of restructured beef. Applied Optics, 2021, 60(22): 6357-6365.

[60] Liu ZF, Huang M, Zhu QB, Qin JW, Kim MS. Detection of adulterated sugar with plastic packaging based on spatially offset Raman imaging. Journal of the Science of Food and Agriculture, 2021, 101: 6281-6288.

[61] Liu ZF, Huang M, Zhu QB, Qin JW, Kim MS. Nondestructive freshness evaluation of intact prawns (Fenneropenaeus chinensis) using line-scan spatially offset Raman spectroscopy. Food Control, 2021, 126: 108054.

[62] Yang Y, Zhao X, Huang M, Wang X, Zhu QB. Multispectral image based germination detection of potato by using supervised multiple threshold segmentation model and Canny edge detector. Computers and Electronics in Agriculture, 2021, 182: 106041.

[63] Yang Y, Wang X, Zhao X, Huang M, Zhu QB. M3GPSpectra: A novel approach integrating variable selection/construction and MLR modeling for quantitative spectral analysis. Analytica Chimica Acta, 2021, 1160: 338453.

[64] Zhang Y, Liu ZF, Huang M, Zhu QB, Yang B. Multi-resolution depth image restoration. Machine Vision and Applications, 2021, 32(3): 65.

[65] Yang Y, Wang X, Huang M, Zhu QB, Guo Y, Xu LB, Zhou Z. Hyperspectral band selection based on dual evaluation measures and improved nondominated sorting genetic algorithm. Journal of Applied Remote Sensing, 2021, 15(2): 028504.

[66] Khan KY, Ali B, Zhang S, Stoffella PJ, Yuan S, Xia Q, Qu HJ, Shi Y, Cui XQ, Guo Y. Effects of antibiotics stress on growth variables, ultrastructure, and metabolite pattern of Brassica rapa ssp. Chinensis. Science of the Total Environment, 2021, 778: 146333.

[67] Pandiyan S, Govindjee G, Meenatchi S, Prasanna S, Gunasekaran G, Guo Y. Evaluating the impact of summer drought on vegetation growth using space-based solar-induced chlorophyll fluorescence across extensive spatial measures. Big Data, 2021:10.1089/big.2020.0350.

[68] Yin L, Fu LJ, Wu H, Xia Q, Jiang YN, Tan JL, Guo Y. Modeling dissolved oxygen in a crab pond. Ecological Modelling, 2021, 440: 109385.

[69] Zhu NY, Ji X, Tan JL, Jiang YN, Guo Y. Prediction of dissolved oxygen concentration in aquatic systems based on transfer learning, Computers and Electronics in Agriculture. 2021, 180: 105888.

[70] Bai XF, Guo Y, Kaustubh B, Li C, Gu ZB, Hu K. The Global Amylase Research Trend in Food Science Technology: A Data-Driven Analysis. Food Reviews International 2021, 1-15.

[71]周天宇,朱启兵,黄敏,蔡贵良,徐晓祥.基于改进YOLOV3的载波芯片缺陷检测.激光与光电子学进展, 2021, 58(12): 1210002.

[72]黄敏,夏超,朱启兵,马洪娟.融合高光谱图像技术与MS-3DCNN的小麦种子品种识别模型.农业工程学报, 2021, 37(18): 153-160.

[73]宗文锦,朱启兵,李明泽,连悦.基于RFID技术的多功能试剂管理系统设计.传感器与微系统, 2021, 40(5): 94-97.

[74] Huang SY, Chen Y. Generative Adversarial Networks with Adaptive Semantic Normalization for text-to-image synthesis. Digital Signal Processing, 2022, 120: Article 103267.

[75] Zheng QY, Chen Y. Interactive multi-scale feature representation enhancement for small object detection, Image and Vision Computing, 2021, 108: Article 104128.

[76] Wei YX, Chen Y. Structured network pruning via adversarial multi-indicator architecture selection. Circuits, Systems & Signal Processing, 2021, 40(8): 4127-4143.

[77] Zheng QY, Chen Y. Feature pyramid of bi-directional stepped concatenation for small object detection. Multimedia Tools and Applications, 2021: Article 10718.

[78] Lu ZY, Chen Y. GA-CSPN: generative adversarial monocular depth estimation with second-order convolutional spatial propagation network. J. Electron. Imaging, 2021, 30(4): Article 043019 .

[79] Shao BT, Chen Y. Multi-granularity for knowledge distillation. Image and Vision Computing, 2021, 115: Article 104286.

[80]代瑾,陈莹.联合线性判别和图正则的任务导向型跨模态检索.计算机辅助设计与图形学学报, 2021, 33(1): 106-115. EI: 20210509867762.

[81]陈莹,王一良.基于密集特征融合的无监督单目深度估计.电子与信息学报, 2021, 43(10): 2976-2984. EI: 20214311059876.

[82]陈珺莹,陈莹.基于显著增强分层双线性池化网络的细粒度图像分类.计算机辅助设计与图形学学报, 2021, 33(2): 241-249.

[83]匡澄,陈莹.基于多粒度特征融合网络的行人重识别.电子学报, 2021, 49(8): 1541-1550.

[84]朱伟杰,陈莹.双流网络信息交互机制下的微表情识别.计算机辅助设计与图形学学报, 2021, 33(4): 545-552.

[85] Wang K, Chen MZQ. On realizability of specific biquadratic impedances as three-reactive seven-element series-parallel networks for inerter-based mechanical control.IEEE Transactions on Automatic Control, 2021, 66(1): 340-345.

[86] Fang X, Liu F, Gao X. Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise.IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(12): 5575- 5583.

[87] Ma YF, Lou XY, Wu W. Sliding mode vibration control of Euler-Bernoulli beam with unknown bounded disturbances.Computers & Electrical Engineering, 2021, 96, 107504.

[88] Ji HH, Cui BT, Liu XZ. Networked sampled-data control of distributed parameter systems via distributed sensor networks. Communications in Nonlinear Science and Numerical Simulation, 2021, 105773.

[89] Fu HS, Cui BT, Zhuang B, Zhang JZ. Anti-collision and obstacle avoidance of mobile sensor-plus-actuator networks over distributed parameter systems with time-varying delay. International Journal of Control Automation and Systems, 2021, 19(7): 2373-2384.

[90] Zhou YJ, Cui BT, Lou XY. Dynamic H-infinity, feedback boundary control for a class of parabolic systems with a spatially varying diffusivity. International Journal of Control Automation and Systems, 2021, 19(2): 999-1012.

[91] Bao CX, Cui BT, Lou XY, Wu W, Zhuang B. Fixed-time stabilisation of boundary controlled linear parabolic distributed parameter systems with space-dependent reactivity. IET Control Theory and Applications, 2021, 15(5): 652-667.

[92] Wen YR, Lou XY, Wu W, Cui BT. Impulsive adaptive observer design for a class of hybrid ODE-PDE cascade systems with uncertain parameters. Systems & Control Letters, 2021, 154: 104969.

[93] Cai X, Lou XY, Wu W. Event-triggered controller design for linear systems with saturated input and bounded disturbance. International Journal of Systems Science, 2021, 52(15): 3141-3158.

[94] Lou XY, Ji Z. Self-triggering adaptive optimal control for nonlinear systems based on encoding mechanism. Mathematics and Computers in Simulation, 2021, 190: 1027-1047.

[95] Jiang YH, Wu W, Lou XY, Jiang ZX, Cui BT. Event-based H-infinity control for piecewise-affine systems subject to actuator saturation. Frontiers of Information Technology & Electronic Engineering, 2021, 22(5): 720-731.

[96] Huang X, Wu W, Yan WX, Lou XY, Ni HY. Sliding-mode control of gantry crane system with recursive least square parameters identification. Journal of Ambient Intelligence and Humanized Computing, 2021.

[97] Jia JJ, Trentelman HL, Charalampidis N, Camlibel MK. Strong structural controllability of colored structured systems. Systems & Control Letters, 2021, 152: 104924.

[98]付焕森,崔宝同,庄波,张建中.基于移动传感器/执行器网络的时滞分布参数系统镇定控制.控制与决策, 2021, 36(8): 1955-1962.

[99]季政,楼旭阳,吴炜.基于神经动态优化的非线性系统近似最优跟踪控制.控制与决策, 2021, 36(1): 97-104.

[100] Feng W, Shen GL, Xu BY, Gu BJ. Isolation forest-based least squares twin margin distribution support vector regression. International Journal of Innovative computing, information and control, 2021, 17(2): 565-579.

[101]曹杰,顾斌杰,熊伟丽,潘丰.增量式约简最小二乘孪生支持向量回归机.计算机科学与探索, 2021, 15(3): 553-563.

[102] Jiang S, Zhang QH, Pan F, Wu ZH. Joint State and Fault Estimation for Discrete-Time Networked Systems with Unknown Measurement Delays. Circuits Systems and Signal Processing, 2021, 40(5): 2228-2241.

[103] Cheng P, Pan F, Yin YY, Wang S. Probabilistic Robust Anti-disturbance Control of Uncertain Systems. Journal of Industrial and Management Optimization, 2021, 17(5): 2441-2450.

[104] Cheng P, Liu YQ, Yin YY, Wang S, Pan F. Fuzzy Event-triggered Disturbance Rejection Control of Nonlinear Systems. Journal of Industrial and Management Optimization, 2021, 17(6): 3297-3307.

[105] Zhang X, Pan F, Zhou L. Brain MRI Intelligent Diagnostic Using an Improved Deep Convolutional Neural Network. Journal of Medical Imaging and Health Informatics, 2021, 11(3): 836-845.

[106] Liu CL, Li H, Shan L. Stationary average-tracking problem of unmatched constant reference signals based on delayed-state feedback. International Journal of Systems Science, 2021, 52(13): 2725-2734.

[107] Shang Y, Liu CL, Cao KC. Event-triggered consensus control of second-order nonlinear multi-agent systems under denial-of-service attacks. Transactions of the Institute of Measurement and Control, 2021, 43(10): 2272-2281.

[108] Shang Y, Liu CL, Cao KC. Event-triggered Consensus Control of Nonlinear Multi-agent Systems based on First-order Hold. International Journal of Control, Automation and Systems, 2021, 19(4): 1461-1469.

[109] Wang C, Liu CL, Chen YY, Zhang Y. Fixed-time Consensus Tracking for Second-order Leader-follower Multi-agent Systems with Nonlinear Dynamics Under Directed Topology. International Journal of Control, Automation and Systems, 2021, 19(8): 2697-2705.

[110]尚宇,刘成林,曹科才.切换拓扑下多自主体系统的事件触发一致性控制.控制理论与应用, 2021, 38(10): 1522-1530.

[111]张雨,刘成林.具有通信时延的多自主体系统时变参考输入的平均一致性跟踪.信息与控制, 2021, 50(5): 616-622,630.

[112] Wang ZG, Gao YW, Ge Y, Liu F. Fault Isolation for Desalting Processes Using Near-Infrared Measurements. Mathematical problems in engineering, 2021.

[113] Wang K, Chen MZQ. Passive mechanical realizations of bicubic impedances with no more than five elements for inerter-based control design. Journal of the Franklin Institute, 2021, 358(10): 5353-5385.

[114]秦宁宁,吴忆松,杨乐.动态模糊匹配下的多元相似度定位算法.西安电子科技大学学报, 2021, 48(4): 27-35.

[115]吴仪,秦宁宁.空洞弧段引导下异构传感网的覆盖优化策略.传感技术学报, 2021, 34(4): 531-538.

[116]秦宁宁,王超,杨乐,孙顺远.基于多元高斯混合模型的离线指纹数据库.电子与信息学报, 2021, 43(6): 1772-1780.

[117]高美凤,尹持俊.基于UAV的无线传感器网络加权质心定位算法.传感技术学报, 2021, 34(4): 539-545.

[118]朱建鸿,王曹松,高美凤.一种改进的Census变换和自适应窗口的匹配算法.激光与光电子学进展, 2021, 58(12): 1215003-1-1215003-8.

[119]高美凤,陶焕明.改进团队进步算法的近红外光谱波长筛选.光谱学与光谱分析, 2021, 41(10): 3032-3038.

[120]陶焕明,高美凤.基于改进免疫遗传算法的近红外光谱变量选择方法.分析测试学报, 2021, 40(10): 1482-1488.



下一篇:2020年重点实验室发表的代表性论文
Baidu
map