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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Application of Artificial neural networks in Time series forecasting |
| Authors Name: | M. Narsimulu |
| Unique Id: | IJSDR2211025 |
| Published In: | Volume 7 Issue 11, November-2022 |
| Abstract: | The most important lagged components in time series forecasting can be found using an advanced method introduced in this article called an artificial neural network model is Long Short-Term Memory (LSTM). Additionally, this article compares the forecasting accuracy of the traditional ARIMA model utilizing time series data with the artificial neural network model is LSTM. Collected rainfall data for India from 1901 to 2015. According to our findings, the coefficient of multiple determination (R2), mean absolute error (MAE), root mean squared error (RMSE), mean absolute percentage error (MAPE), the best predicting accuracy is offered by Long Short-Term Memory (LSTM) neural networks, which are more advanced than traditional time series approaches and the traditional ARIMA model. |
| Keywords: | time series forecasting, artificial neural networks, ARIMA model, LSTM |
| Cite Article: | "Application of Artificial neural networks in Time series forecasting", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.154 - 158, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211025.pdf |
| Downloads: | 000251437 |
| Publication Details: | Published Paper ID: IJSDR2211025 Registration ID:202466 Published In: Volume 7 Issue 11, November-2022 DOI (Digital Object Identifier): Page No: 154 - 158 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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