Improvement of time forecasting models using a novel hybridization of bootstrap and double bootstrap artificial neural networks
Hybrid models such as the Artificial Neural Network-Autoregressive Integrated Moving
Average (ANN–ARIMA) model are widely used in forecasting. However, inaccuracies and …
Average (ANN–ARIMA) model are widely used in forecasting. However, inaccuracies and …
Developing forecasting model for future pandemic applications based on COVID-19 data 2020–2022
WIA Wan Mohamad Nawi, AA K. Abdul Hamid… - Plos one, 2023 - journals.plos.org
Improving forecasting particularly time series forecasting accuracy, efficiency and precisely
become crucial for the authorities to forecast, monitor, and prevent the COVID-19 cases so …
become crucial for the authorities to forecast, monitor, and prevent the COVID-19 cases so …
Improvement of time forecasting models using machine learning for future pandemic applications based on COVID-19 data 2020–2022
AA K Abdul Hamid, WIA Wan Mohamad Nawi, MS Lola… - Diagnostics, 2023 - mdpi.com
Improving forecasts, particularly the accuracy, efficiency, and precision of time-series
forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of …
forecasts, is becoming critical for authorities to predict, monitor, and prevent the spread of …
Percentile bootstrap control chart for monitoring process variability under non-normal processes
N Saeed, S Kamal, M Aslam - Scientia Iranica, 2021 - scientiairanica.sharif.edu
In the recent years, another approach named as the bootstrap method is getting popular in
Statistical Process Control (SPC) specifically when the underlying distribution of the process …
Statistical Process Control (SPC) specifically when the underlying distribution of the process …
[PDF][PDF] The Effect of Aggregating Bootstrap on the Accuracy of Neural Network System for Islamic Investment Prediction
SF CO, NZ Hila, SM Shaharudin, RA Tarmizi… - 2021 - academia.edu
Accurate prediction of the stock price is necessary for efficient financial decision making and
reconstruction planning, especially during the COVID-19 crisis. Meanwhile, the ARIMA …
reconstruction planning, especially during the COVID-19 crisis. Meanwhile, the ARIMA …