Modeling and Forecasting of Monthly Global Price of Bananas Using Seasonal ARIMA and Multilayer Perceptron Neural Network
The primary purpose of this study was to pursue the analysis of the time series data and to demonstrate the role of time series model in the predicting process using long-term records of the monthly global price of bananas from January 1990 to November 2020. Following the Box-Jenkins methodology, AR...
Saved in:
| Main Authors: | Yeong Nain Chi, Orson Chi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
2021-01-01
|
| Series: | Ekonometria |
| Online Access: | https://journals.ue.wroc.pl/eada/article/view/947 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model
by: Zulifqar Ali, et al.
Published: (2017-01-01) -
Forecasting Daily and Monthly Reference Evapotranspiration in the Aidoghmoush Basin Using Multilayer Perceptron Coupled with Water Wave Optimization
by: Fatemeh Sayyahi, et al.
Published: (2021-01-01) -
Enhanced AdaBoostM1 with Multilayer Perceptron for Stock Price Prediction
by: Rebwar Mala Nabi, et al.
Published: (2023-06-01) -
Novel Cooperative Multi-Input Multilayer Perceptron Neural Network Performance Analysis with Application of Solar Irradiance Forecasting
by: M. Madhiarasan, et al.
Published: (2021-01-01) -
Air Pollutant Concentration Forecasting with WTMP: Wavelet Transform-Based Multilayer Perceptron
by: Xiaoling Wang, et al.
Published: (2024-10-01)