Articoli di riviste sul tema "Periodic prediction"
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Niu, Xiaoxu, Junwei Ma, Yankun Wang, Junrong Zhang, Hongjie Chen e Huiming Tang. "A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction". Applied Sciences 11, n. 10 (20 maggio 2021): 4684. http://dx.doi.org/10.3390/app11104684.
Yang, Xiaoxue, Yajie Zou, Jinjun Tang, Jian Liang e Muhammad Ijaz. "Evaluation of Short-Term Freeway Speed Prediction Based on Periodic Analysis Using Statistical Models and Machine Learning Models". Journal of Advanced Transportation 2020 (20 gennaio 2020): 1–16. http://dx.doi.org/10.1155/2020/9628957.
Ren, Liang, Feng Yang, Yuanhe Gao e Yongcong He. "Predicting Spacecraft Telemetry Data by Using Grey–Markov Model with Sliding Window and Particle Swarm Optimization". Journal of Mathematics 2023 (3 febbraio 2023): 1–14. http://dx.doi.org/10.1155/2023/9693047.
Sugimoto, Masashi, Naoya Iwamoto, Robert W. Johnston, Keizo Kanazawa, Yukinori Misaki e Kentarou Kurashige. "A Study of Predicting Ability in State-Action Pair Prediction". International Journal of Artificial Life Research 7, n. 1 (gennaio 2017): 52–66. http://dx.doi.org/10.4018/ijalr.2017010104.
Shen, Yueqian, Xiaoxia Ma, Yajing Sun e Sheng Du. "Prediction of university fund revenue and expenditure based on fuzzy time series with a periodic factor". PLOS ONE 18, n. 5 (25 maggio 2023): e0286325. http://dx.doi.org/10.1371/journal.pone.0286325.
Cheng, Weiwei, Guigen Nie e Jian Zhu. "Characterizing Periodic Variations of Atomic Frequency Standards via Their Frequency Stability Estimates". Sensors 23, n. 11 (5 giugno 2023): 5356. http://dx.doi.org/10.3390/s23115356.
Scerri, Eric R., e John Worrall. "Prediction and the periodic table". Studies in History and Philosophy of Science Part A 32, n. 3 (settembre 2001): 407–52. http://dx.doi.org/10.1016/s0039-3681(01)00023-1.
Pawelzik, K., e H. G. Schuster. "Unstable periodic orbits and prediction". Physical Review A 43, n. 4 (1 febbraio 1991): 1808–12. http://dx.doi.org/10.1103/physreva.43.1808.
Miao, Xu, Bing Wu, Yajie Zou e Lingtao Wu. "Examining the Impact of Different Periodic Functions on Short-Term Freeway Travel Time Prediction Approaches". Journal of Advanced Transportation 2020 (1 agosto 2020): 1–15. http://dx.doi.org/10.1155/2020/3463287.
Zhao, Lin, Nan Li, Hui Li, Renlong Wang e Menghao Li. "BDS Satellite Clock Prediction Considering Periodic Variations". Remote Sensing 13, n. 20 (11 ottobre 2021): 4058. http://dx.doi.org/10.3390/rs13204058.
Bittanti, S., P. Colaneri e G. De Nicolao. "The difference periodic Ricati equation for the periodic prediction problem". IEEE Transactions on Automatic Control 33, n. 8 (1988): 706–12. http://dx.doi.org/10.1109/9.1286.
Doğan, Erdem. "Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set". Promet - Traffic&Transportation 32, n. 1 (6 febbraio 2020): 65–78. http://dx.doi.org/10.7307/ptt.v32i1.3154.
Gong, Lixiong, e Canlin Wang. "Model of Automobile Parts Sale Prediction Based on Nonlinear Periodic Gray GM(1,1) and Empirical Research". Mathematical Problems in Engineering 2019 (27 agosto 2019): 1–8. http://dx.doi.org/10.1155/2019/3620120.
Zhang, Junrong, Huiming Tang, Dwayne D. Tannant, Chengyuan Lin, Ding Xia, Yankun Wang e Qianyun Wang. "A Novel Model for Landslide Displacement Prediction Based on EDR Selection and Multi-Swarm Intelligence Optimization Algorithm". Sensors 21, n. 24 (14 dicembre 2021): 8352. http://dx.doi.org/10.3390/s21248352.
Li, Hongcheng, Yuan Gao, Bing Wang, Yuewei Ming e Zhongwei Zhao. "Network Anomaly Sequence Prediction Method Based on LSTM and Two-layer Window Features". Journal of Physics: Conference Series 2216, n. 1 (1 marzo 2022): 012063. http://dx.doi.org/10.1088/1742-6596/2216/1/012063.
Jiang, Shan, Yuming Feng, Xiaofeng Liao, Hongjuan Wu, Jinkui Liu e Babatunde Oluwaseun Onasanya. "A Novel Spatiotemporal Periodic Polynomial Model for Predicting Road Traffic Speed". Symmetry 16, n. 5 (30 aprile 2024): 537. http://dx.doi.org/10.3390/sym16050537.
Chen, Guisheng, e Zhanshan Li. "A New Method Combining Pattern Prediction and Preference Prediction for Next Basket Recommendation". Entropy 23, n. 11 (29 ottobre 2021): 1430. http://dx.doi.org/10.3390/e23111430.
Chen, Long, Minghua Lin e Liankun Chen. "Financial Risk Prediction based on Time Series". Academic Journal of Management and Social Sciences 5, n. 1 (5 novembre 2023): 169–74. http://dx.doi.org/10.54097/ajmss.v5i1.14073.
Lin, Yisha, Zongxiang Lu, Ying Qiao, Mingjie Li e Zhifeng Liang. "Medium and long-term wind energy forecasting method considering multi-scale periodic pattern". E3S Web of Conferences 182 (2020): 01002. http://dx.doi.org/10.1051/e3sconf/202018201002.
Morillon, Benjamin, Charles E. Schroeder, Valentin Wyart e Luc H. Arnal. "Temporal Prediction in lieu of Periodic Stimulation". Journal of Neuroscience 36, n. 8 (24 febbraio 2016): 2342–47. http://dx.doi.org/10.1523/jneurosci.0836-15.2016.
Elder, Benjamin, Matthew Arnold, Anupama Murthi e Jiří Navrátil. "Learning Prediction Intervals for Model Performance". Proceedings of the AAAI Conference on Artificial Intelligence 35, n. 8 (18 maggio 2021): 7305–13. http://dx.doi.org/10.1609/aaai.v35i8.16897.
XU, Chuanbo, Maoru CHI, Liangcheng DAI, Yiping JIANG, Yongfa CHEN e Zhaotuan GUO. "Research on Rubber Spring Model of High-speed EMU Based on Non-hyperelastic Forces". Mechanics 27, n. 1 (24 febbraio 2021): 12–21. http://dx.doi.org/10.5755/j02.mech.25630.
Luo, Albert C. J., e Lidi Chen. "Arbitrary Periodic Motions and Grazing Switching of a Forced Piecewise Linear, Impacting Oscillator". Journal of Vibration and Acoustics 129, n. 3 (1 novembre 2006): 276–84. http://dx.doi.org/10.1115/1.2424971.
Zou, Yajie, Xuedong Hua, Yanru Zhang e Yinhai Wang. "Hybrid short-term freeway speed prediction methods based on periodic analysis". Canadian Journal of Civil Engineering 42, n. 8 (agosto 2015): 570–82. http://dx.doi.org/10.1139/cjce-2014-0447.
Hwang, Eunju. "Improvement on Forecasting of Propagation of the COVID-19 Pandemic through Combining Oscillations in ARIMA Models". Forecasting 6, n. 1 (26 dicembre 2023): 18–35. http://dx.doi.org/10.3390/forecast6010002.
Lin, Zian, Xiyan Sun e Yuanfa Ji. "Landslide Displacement Prediction Based on Time Series Analysis and Double-BiLSTM Model". International Journal of Environmental Research and Public Health 19, n. 4 (12 febbraio 2022): 2077. http://dx.doi.org/10.3390/ijerph19042077.
Ichiji, Kei, Noriyasu Homma, Masao Sakai, Yuichiro Narita, Yoshihiro Takai, Xiaoyong Zhang, Makoto Abe, Norihiro Sugita e Makoto Yoshizawa. "A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy". Computational and Mathematical Methods in Medicine 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/390325.
Huang, Da, Jun He, Yixiang Song, Zizheng Guo, Xiaocheng Huang e Yingquan Guo. "Displacement Prediction of the Muyubao Landslide Based on a GPS Time-Series Analysis and Temporal Convolutional Network Model". Remote Sensing 14, n. 11 (1 giugno 2022): 2656. http://dx.doi.org/10.3390/rs14112656.
Chen, Weihang. "Application of Market Cycle Analysis and LSTM in Prediction of Stock Price Movements". BCP Business & Management 38 (2 marzo 2023): 856–61. http://dx.doi.org/10.54691/bcpbm.v38i.3787.
Brée, David S., Damien Challet e Pier Paolo Peirano. "Prediction accuracy and sloppiness of log-periodic functions". Quantitative Finance 13, n. 2 (febbraio 2013): 275–80. http://dx.doi.org/10.1080/14697688.2011.607467.
Sereno, Sergio Gabriele Maria. "Prediction, accommodation and the periodic table: a reappraisal". Foundations of Chemistry 22, n. 3 (6 giugno 2020): 477–88. http://dx.doi.org/10.1007/s10698-020-09371-7.
Lei, Yu, Min Guo, Hongbing Cai, Dandan Hu e Danning Zhao. "Prediction of Length-of-day Using Gaussian Process Regression". Journal of Navigation 68, n. 3 (19 gennaio 2015): 563–75. http://dx.doi.org/10.1017/s0373463314000927.
Dai, Bingcun, Fan Zhang, Domenico Tarzia e Kwangwon Ahn. "Forecasting Financial Crashes: Revisit to Log-Periodic Power Law". Complexity 2018 (1 agosto 2018): 1–12. http://dx.doi.org/10.1155/2018/4237471.
Phermphoonphiphat, Ekasit, Tomohiko Tomita, Takashi Morita, Masayuki Numao e Ken-Ichi Fukui. "Soft Periodic Convolutional Recurrent Network for Spatiotemporal Climate Forecast". Applied Sciences 11, n. 20 (18 ottobre 2021): 9728. http://dx.doi.org/10.3390/app11209728.
Liu, Shipeng, Dejun Ning e Jue Ma. "TCNformer Model for Photovoltaic Power Prediction". Applied Sciences 13, n. 4 (17 febbraio 2023): 2593. http://dx.doi.org/10.3390/app13042593.
Luo, D., e G. Z. Zhang. "A multiperiod grey prediction model and its application". Journal of Intelligent & Fuzzy Systems 40, n. 6 (21 giugno 2021): 11577–86. http://dx.doi.org/10.3233/jifs-202775.
He, Ji-Huan, Qian Yang, Chun-Hui He e Abdulrahman Ali Alsolami. "PULL-DOWN INSTABILITY OF THE QUADRATIC NONLINEAR OSCILLATORS". Facta Universitatis, Series: Mechanical Engineering 21, n. 2 (10 agosto 2023): 191. http://dx.doi.org/10.22190/fume230114007h.
Huang, Bingqing, Haonan Zheng, Xinbo Guo, Yi Yang e Ximing Liu. "A Novel Model Based on DA-RNN Network and Skip Gated Recurrent Neural Network for Periodic Time Series Forecasting". Sustainability 14, n. 1 (29 dicembre 2021): 326. http://dx.doi.org/10.3390/su14010326.
Zhao, D. W., G. H. Su, Z. H. Liang, Y. J. Zhang e S. Z. Qiu. "ICONE19-43196 Prediction of Periodic Dryout Critical Heat Flux under Flow Oscillation Condition". Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_75.
LUO, ALBERT C. J., e BING XUE. "AN ANALYTICAL PREDICTION OF PERIODIC FLOWS IN THE CHUA CIRCUIT SYSTEM". International Journal of Bifurcation and Chaos 19, n. 07 (luglio 2009): 2165–80. http://dx.doi.org/10.1142/s0218127409023998.
OI, Akira, Bumpei MIYAZAKI, Kengo OBAMA, Kiyoyuki KAITO, Kiyoshi KOBAYASHI e Kiyohito YAMAGUCHI. "DETERIORATION PREDICTION OF EXPRESSWAY PAVEMENT WITH PERIODIC FWD DATA". Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering) 70, n. 2 (2014): 11–25. http://dx.doi.org/10.2208/jscejpe.70.11.
Kim, Hyung-Il. "Outlier prediction in sensor network data using periodic pattern". Journal of Sensor Science and Technology 15, n. 6 (30 novembre 2006): 433–41. http://dx.doi.org/10.5369/jsst.2006.15.6.433.
Kang, Bokyoung, Dongsoo Kim e Suk‐Ho Kang. "Periodic performance prediction for real‐time business process monitoring". Industrial Management & Data Systems 112, n. 1 (27 gennaio 2012): 4–23. http://dx.doi.org/10.1108/02635571211193617.
Schwartz, Greg, Rob Harris, David Shrom e Michael J. Berry. "Detection and prediction of periodic patterns by the retina". Nature Neuroscience 10, n. 5 (22 aprile 2007): 552–54. http://dx.doi.org/10.1038/nn1887.
Lund, Robert, e I. V. Basawa. "Recursive Prediction and Likelihood Evaluation for Periodic ARMA Models". Journal of Time Series Analysis 21, n. 1 (gennaio 2000): 75–93. http://dx.doi.org/10.1111/1467-9892.00174.
Worrall, John. "Prediction and the ‘periodic law’: a rejoinder to Barnes". Studies in History and Philosophy of Science Part A 36, n. 4 (dicembre 2005): 817–26. http://dx.doi.org/10.1016/j.shpsa.2005.08.007.
Baier, G., T. M. Grateful, M. D. Graham e E. N. Lightfoot. "Prediction of mass transfer rates in spatially periodic flows". Chemical Engineering Science 54, n. 3 (febbraio 1999): 343–55. http://dx.doi.org/10.1016/s0009-2509(98)00234-6.
Bittanti, S., e G. De Nicolao. "Periodic ARMA Models: Optimal Prediction and Minimum-Phase Condition". IFAC Proceedings Volumes 23, n. 8 (agosto 1990): 449–54. http://dx.doi.org/10.1016/s1474-6670(17)51956-4.
Zhang, Kaimeng, Chi Tim Ng e Myung Hwan Na. "Real time prediction of irregular periodic time series data". Journal of Forecasting 39, n. 3 (6 gennaio 2020): 501–11. http://dx.doi.org/10.1002/for.2637.
Liu, Zhigang, Jin Wang, Tao Tao, Ziyun Zhang, Siyi Chen, Yang Yi, Shuang Han e Yongqian Liu. "Wave Power Prediction Based on Seasonal and Trend Decomposition Using Locally Weighted Scatterplot Smoothing and Dual-Channel Seq2Seq Model". Energies 16, n. 22 (9 novembre 2023): 7515. http://dx.doi.org/10.3390/en16227515.