Ilham Ariff, Mohammad Fadzli (2023) Sales Prediction Using Artificial Neural Network. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah.
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Abstract
In this research, an Artificial Neural Network (ANN) model was developed for the sales prediction. This research proposed the use of ANN for forecasting sales as an alternative to conventional forecasting techniques. The main objective of this research was to create an ANN model that can try to accurately forecast future sales using historical sales data. The proposed ANN model was trained using a backpropagation algorithm. The ANN consisted of multiple layers of artificial neurons. The sales dataset used in this study was collected from the Kaggle website. In conclusion, the proposed ANN model can assist business owners in making better decisions by forecasting future sales, identifying patterns and trends in the dataset.
| Item Type: | Undergraduates Project Papers |
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| Additional Information: | SV: Ts. Dr. Zuriani Mustaffa |
| Uncontrolled Keywords: | Artificial Neural Network (ANN) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computing |
| Depositing User: | Mr. Nik Ahmad Nasyrun Nik Abd Malik |
| Date Deposited: | 18 Mar 2024 06:17 |
| Last Modified: | 18 Mar 2024 06:17 |
| URI: | http://umpir.ump.edu.my/id/eprint/40701 |
| Download Statistic: | View Download Statistics |
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