Predicting Staple Food Materials Price Using Multivariables Factors (Regression and Fourier Models with ARIMA)-Reference-Cited by-同舟云学术

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Predicting Staple Food Materials Price Using Multivariables Factors (Regression and Fourier Models with ARIMA)

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:2019 7th International Conference on Information and Communication Technology (ICoICT)
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Author:

Asnhari Said Fadlan,Gunawan P. H.,Rusmawati Yanti

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8825728/8835188/08835193.pdf?arnumber=8835193

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Extreme Learning Machine Approach for Forecasting the Wholesale Price Index of Food Products in India;Pertanika Journal of Science and Technology;2023-10-12

2. Prediction of Laptop Prices with Recommendations Based on User Specifications;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

3. Regression Based Price Prediction of Staple Food Materials Using Multivariate Models;Scientific Programming;2022-06-13

4. Regression Model of Approximation Errors of Voltage Curves for Measuring Magnetic Characteristics;2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2022-05-16

5. Onion Price Prediction Using Machine Learning Approaches;Proceedings of International Conference on Computational Intelligence and Data Engineering;2022

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