Journal articles on the topic 'Forecasting of data in the form of time series'
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Angers, Jean-François, Atanu Biswas, and Raju Maiti. "Bayesian Forecasting for Time Series of Categorical Data." Journal of Forecasting 36, no. 3 (May 9, 2016): 217–29. http://dx.doi.org/10.1002/for.2426.
Full textKasyoki, Alexander. "Simple Steps for Fitting Arima Model to Time Series Data for Forecasting Using R." International Journal of Science and Research (IJSR) 4, no. 3 (April 5, 2015): 318–21. http://dx.doi.org/10.21275/sub151897.
Full textHermansah, Hermansah, Dedi Rosadi, Abdurakhman Abdurakhman, and Herni Utami. "SELECTION OF INPUT VARIABLES OF NONLINEAR AUTOREGRESSIVE NEURAL NETWORK MODEL FOR TIME SERIES DATA FORECASTING." MEDIA STATISTIKA 13, no. 2 (December 28, 2020): 116–24. http://dx.doi.org/10.14710/medstat.13.2.116-124.
Full textPhong, Pham Đinh. "A TIME SERIES FORECASTING MODEL BASED ON LINGUISTIC FORECASTING RULES." Journal of Computer Science and Cybernetics 37, no. 1 (March 29, 2021): 23–42. http://dx.doi.org/10.15625/1813-9663/37/1/15852.
Full textOrzeszko, Witold. "Several Aspects of Nonparametric Prediction of Nonlinear Time Series." Przegląd Statystyczny 65, no. 1 (January 30, 2019): 7–24. http://dx.doi.org/10.5604/01.3001.0014.0522.
Full textAlbara, Al-Khowarizmi, and Riyan Pradesyah. "Power Business Intelligence in the Data Science Visualization Process to Forecast CPO Prices." International Journal of Science, Technology & Management 2, no. 6 (November 20, 2021): 2198–208. http://dx.doi.org/10.46729/ijstm.v2i6.403.
Full textBelas, Andrii, and Petro Bidyuk. "Convolutional neural networks for modeling and forecasting nonlinear nonstationary processes." ScienceRise, no. 3 (June 30, 2021): 12–20. http://dx.doi.org/10.21303/2313-8416.2021.001924.
Full textJOSHI, BHAGAWATI P., and SANJAY KUMAR. "A COMPUTATIONAL METHOD FOR FUZZY TIME SERIES FORECASTING BASED ON DIFFERENCE PARAMETERS." International Journal of Modeling, Simulation, and Scientific Computing 04, no. 01 (December 27, 2012): 1250023. http://dx.doi.org/10.1142/s1793962312500237.
Full textRamli, Nazirah, Siti Musleha Ab Mutalib, and Daud Mohamad. "Fuzzy Time Series Forecasting Model based on Frequency Density and Similarity Measure Approach." International Journal of Engineering & Technology 7, no. 4.30 (November 30, 2018): 281. http://dx.doi.org/10.14419/ijet.v7i4.30.22284.
Full textMurat, Małgorzata, Iwona Malinowska, Magdalena Gos, and Jaromir Krzyszczak. "Forecasting daily meteorological time series using ARIMA and regression models." International Agrophysics 32, no. 2 (April 1, 2018): 253–64. http://dx.doi.org/10.1515/intag-2017-0007.
Full textKUMAR, ASHWANI, D. P. AGRAWAL, and S. D. JOSHI. "MULTISCALE NEUROFUZZY MODELS FOR FORECASTING IN TIME SERIES DATABASES." International Journal of Wavelets, Multiresolution and Information Processing 05, no. 06 (November 2007): 859–78. http://dx.doi.org/10.1142/s0219691307002087.
Full textAudina, Bella, Mohamat Fatekurohman, and Abduh Riski. "Peramalan Arus Kas dengan Pendekatan Time Series Menggunakan Support Vector Machine." Indonesian Journal of Applied Statistics 4, no. 1 (May 30, 2021): 34. http://dx.doi.org/10.13057/ijas.v4i1.47953.
Full textHassani, Hossein, Mohammad Reza Yeganegi, Atikur Khan, and Emmanuel Sirimal Silva. "The Effect of Data Transformation on Singular Spectrum Analysis for Forecasting." Signals 1, no. 1 (May 7, 2020): 4–25. http://dx.doi.org/10.3390/signals1010002.
Full textAbhishekh, Surendra Singh Gautam, and S. R. Singh. "A Score Function-Based Method of Forecasting Using Intuitionistic Fuzzy Time Series." New Mathematics and Natural Computation 14, no. 01 (March 2018): 91–111. http://dx.doi.org/10.1142/s1793005718500072.
Full textNik Badrul Alam, Nik Muhammad Farhan Hakim, and Nazirah Ramli. "Time Series Forecasting Model Based on Intuitionistic Fuzzy Set via Equal Distribution of Hesitancy De-I-Fuzzification." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, no. 06 (December 2021): 1015–29. http://dx.doi.org/10.1142/s0218488521500458.
Full textEroshenko, Stanislav A., Alexandra I. Khalyasmaa, Denis A. Snegirev, Valeria V. Dubailova, Alexey M. Romanov, and Denis N. Butusov. "The Impact of Data Filtration on the Accuracy of Multiple Time-Domain Forecasting for Photovoltaic Power Plants Generation." Applied Sciences 10, no. 22 (November 21, 2020): 8265. http://dx.doi.org/10.3390/app10228265.
Full textSu, Liyun, and Chenlong Li. "Local Functional Coefficient Autoregressive Model for Multistep Prediction of Chaotic Time Series." Discrete Dynamics in Nature and Society 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/329487.
Full textMuhammad, Mahadi, Sri Wahyuningsih, and Meiliyani Siringoringo. "Peramalan Nilai Tukar Petani Subsektor Peternakan Menggunakan Fuzzy Time Series Lee." Jambura Journal of Mathematics 1, no. 1 (January 2, 2021): 1–15. http://dx.doi.org/10.34312/jjom.v1i1.5940.
Full textMuhammad, Mahadi, Sri Wahyuningsih, and Meiliyani Siringoringo. "Peramalan Nilai Tukar Petani Subsektor Peternakan Menggunakan Fuzzy Time Series Lee." Jambura Journal of Mathematics 3, no. 1 (January 2, 2021): 1–15. http://dx.doi.org/10.34312/jjom.v3i1.5940.
Full textGrądz, Żaklin. "RESEARCH ON THE COMBUSTION PROCESS USING TIME SERIES." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 10, no. 2 (June 30, 2020): 52–55. http://dx.doi.org/10.35784/iapgos.1835.
Full textSamia, Ayari, Nouira Kaouther, and Trabelsi Abdelwahed. "A Hybrid ARIMA and Artificial Neural Networks Model to Forecast Air Quality in Urban Areas: Case of Tunisia." Advanced Materials Research 518-523 (May 2012): 2969–79. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.2969.
Full textKajitani, Yoshio, Keith W. Hipel, and A. Ian Mcleod. "Forecasting nonlinear time series with feed-forward neural networks: a case study of Canadian lynx data." Journal of Forecasting 24, no. 2 (2005): 105–17. http://dx.doi.org/10.1002/for.940.
Full textRomanov, Anton A., and Aleksei A. Filippov. "AN APPROACH TO THE CONTEXTUAL ANALYSIS OF TIME SERIES." АВТОМАТИЗАЦИЯ ПРОЦЕССОВ УПРАВЛЕНИЯ 63, no. 1 (2021): 46–55. http://dx.doi.org/10.35752/1991-2927-2021-1-63-46-55.
Full textTang, Chen, and Yanlin Shi. "Forecasting High-Dimensional Financial Functional Time Series: An Application to Constituent Stocks in Dow Jones Index." Journal of Risk and Financial Management 14, no. 8 (July 23, 2021): 343. http://dx.doi.org/10.3390/jrfm14080343.
Full textLuu, Do Ngoc, Nguyen Ngoc Phien, and Duong Tuan Anh. "Tuning Parameters in Deep Belief Networks for Time Series Prediction through Harmony Search." International Journal of Machine Learning and Computing 11, no. 4 (August 2021): 274–80. http://dx.doi.org/10.18178/ijmlc.2021.11.4.1047.
Full textMulesa, O. Yu, F. E. Geche, A. Ye Batyuk, and O. O. Melnyk. "Information technology for time series forecasting by the method of the forecast scheme synthesis." Ukrainian Journal of Information Technology 3, no. 2 (November 23, 2021): 81–86. http://dx.doi.org/10.23939/ujit2021.02.081.
Full textFakhru Rosyad, Ardian, Farikhin, and Jatmiko Endro Suseno. "Information Systems of Forecasting Incidence Rates of Dengue Fever Disease Using Multivariate Fuzzy Time Series." E3S Web of Conferences 202 (2020): 14005. http://dx.doi.org/10.1051/e3sconf/202020214005.
Full textEvita Purnaningrum. "Model Dynamic Ensemble Time Series untuk Prediksi Indeks Harga Saham Utama di Indonesia Pasca Pandemi." Majalah Ekonomi 26, no. 1 (July 19, 2021): 1–7. http://dx.doi.org/10.36456/majeko.vol26.no1.a3949.
Full textLawnik, Marcin, and Arkadiusz Banasik. "Delphi Method Supported by Forecasting Software." Information 11, no. 2 (January 27, 2020): 65. http://dx.doi.org/10.3390/info11020065.
Full textFleming, Sean W. "Artificial neural network forecasting of nonlinear Markov processes." Canadian Journal of Physics 85, no. 3 (March 1, 2007): 279–94. http://dx.doi.org/10.1139/p07-037.
Full textKUMAR, ASHWANI, D. P. AGRAWAL, and S. D. JOSHI. "MULTIRESOLUTION FORECASTING FOR US RETAILING USING WAVELET DECOMPOSITIONS." International Journal of Wavelets, Multiresolution and Information Processing 01, no. 04 (December 2003): 449–63. http://dx.doi.org/10.1142/s0219691303000281.
Full textSuradhaniwar, Saurabh, Soumyashree Kar, Surya S. Durbha, and Adinarayana Jagarlapudi. "Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies." Sensors 21, no. 7 (April 1, 2021): 2430. http://dx.doi.org/10.3390/s21072430.
Full textNasution, M. Rizki, Dede Ruslan, and Ahmad Albar Tanjung. "PERAMALAN INFLASI DI INDONESIA: DYNAMIC MODEL AVERAGE." Media Ekonomi 28, no. 2 (May 30, 2021): 91–98. http://dx.doi.org/10.25105/me.v28i2.7085.
Full textBelas, Oleg, and Andrii Belas. "General methods of forecasting nonlinear nonstationary processes based on mathematical models using statistical data." System research and information technologies, no. 1 (July 11, 2021): 79–86. http://dx.doi.org/10.20535/srit.2308-8893.2021.1.06.
Full textHASHEM-NAZARI, Mohammad, Akbar ESFAHANIPOUR, and S. M. T. FATEMI GHOMI. "NON-EQUIDISTANT “BASIC FORM”-FOCUSED GREY VERHULST MODELS (NBFGVMS) FOR ILL-STRUCTURED SOCIO-ECONOMIC FORECASTING PROBLEMS." Journal of Business Economics and Management 18, no. 4 (August 27, 2017): 676–94. http://dx.doi.org/10.3846/16111699.2017.1337045.
Full textWang, Ping, Xuran He, Hongyinping Feng, Guisheng Zhang, and Chenglu Rong. "A Hybrid Model for PM2.5 Concentration Forecasting Based on Neighbor Structural Information, a Case in North China." Sustainability 13, no. 2 (January 6, 2021): 447. http://dx.doi.org/10.3390/su13020447.
Full textSivhugwana, K. S., and E. Ranganai. "Intelligent techniques, harmonically coupled and SARIMA models in forecasting solar radiation data: A hybridization approach." Journal of Energy in Southern Africa 31, no. 3 (October 20, 2020): 14–37. http://dx.doi.org/10.17159/2413-3051/2020/v31i3a7754.
Full textSeçkin, Mine, Ahmet Çağdaş Seçkin, and Aysun Coşkun. "Production fault simulation and forecasting from time series data with machine learning in glove textile industry." Journal of Engineered Fibers and Fabrics 14 (January 2019): 155892501988346. http://dx.doi.org/10.1177/1558925019883462.
Full textEt. al., Sumita Mukherjee,. "TIME SERIES MODELLING ALGORITHM FOR PREDICTION OF EARTHQUAKES IN NEPAL." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 2 (March 21, 2021): 29–35. http://dx.doi.org/10.17762/itii.v9i2.302.
Full textOuyang, Yicun, and Hujun Yin. "Multi-Step Time Series Forecasting with an Ensemble of Varied Length Mixture Models." International Journal of Neural Systems 28, no. 04 (March 12, 2018): 1750053. http://dx.doi.org/10.1142/s0129065717500538.
Full textWibisono, Dwi Anugrah, Dian Anggraeni, and Alfian Futuhul Hadi. "PERBAIKAN MODEL SEASONAL ARIMA DENGAN METODE ENSEMBLE KALMAN FILTER PADA HASIL PREDIKSI CURAH HUJAN." Majalah Ilmiah Matematika dan Statistika 19, no. 1 (March 12, 2019): 9. http://dx.doi.org/10.19184/mims.v19i1.17262.
Full textGlaser, Sarah M., Hao Ye, Mark Maunder, Alec MacCall, Michael Fogarty, and George Sugihara. "Detecting and forecasting complex nonlinear dynamics in spatially structured catch-per-unit-effort time series for North Pacific albacore (Thunnus alalunga)." Canadian Journal of Fisheries and Aquatic Sciences 68, no. 3 (March 2011): 400–412. http://dx.doi.org/10.1139/f10-160.
Full textPratama, Yunidar Ayu, and Diah Indriani. "Peramalan KB Baru IUD dengan Metode Automatic Clustering and Fuzzy Logical Relationship." Jurnal Biometrika dan Kependudukan 6, no. 2 (October 30, 2018): 144. http://dx.doi.org/10.20473/jbk.v6i2.2017.144-153.
Full textJurnal, Redaksi Tim. "STUDI PERAMALAN BEBAN RATA – RATA JANGKA PENDEK MENGGUNAKAN METODA AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA." Sutet 7, no. 2 (November 27, 2018): 93–101. http://dx.doi.org/10.33322/sutet.v7i2.84.
Full textPerwira, Rifki Indra, Danang Yudhiantoro, and Endah Wahyurini. "FUZZY TIME SERIES MODEL CHENG UNTUK MERAMALKAN VOLUME HASIL PANEN PADA TANAMAN GARUT." Telematika 17, no. 1 (April 30, 2020): 11. http://dx.doi.org/10.31315/telematika.v17i1.3400.
Full textBoudhaouia, Aida, and Patrice Wira. "A Real-Time Data Analysis Platform for Short-Term Water Consumption Forecasting with Machine Learning." Forecasting 3, no. 4 (September 26, 2021): 682–94. http://dx.doi.org/10.3390/forecast3040042.
Full textAlsudani, Rana Sabeeh Abood, Jicheng Liu, and Zahrah Ismael Salman. "Forecasting mortality patterns of thalassaemia major patients in Iraq by using VAR model and reasons for this mortality." JOURNAL OF ADVANCES IN MATHEMATICS 12, no. 11 (December 30, 2016): 6785–98. http://dx.doi.org/10.24297/jam.v12i11.18.
Full textVrbka, Jaromír, and Marek Vochozka. "Considering seasonal fluctuations on balancing time series with the use of artificial neural networks when forecasting US imports from the PRC." SHS Web of Conferences 73 (2020): 01033. http://dx.doi.org/10.1051/shsconf/20207301033.
Full textChaban, V. I., S. P. Kliavzo, O. U. Podobed, and S. A. Chernyh. "Sunflower yield forecast using ARIMA time series models." Scientific Journal Grain Crops 5, no. 2 (2022): 267–74. http://dx.doi.org/10.31867/2523-4544/0185.
Full textMaulana, Hutomo Atman, Kasuma Wardany Harahap, Adriyansyah Adriyansyah, Rofiroh Rofiroh, and Fuad Zainuddin. "Permodelan Produksi Kopi Indonesia dengan Menggunakan Seasonal Autoregressive Integrated Moving Average (SARIMA)." Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam 2, no. 1 (August 1, 2019): 1. http://dx.doi.org/10.32493/jsmu.v2i1.2914.
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