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Sales Prediction Using Artificial Neural Network

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 accu...

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Main Author: Ilham Ariff, Mohammad Fadzli
Format: Undergraduates Project Papers
Language:English
Published: 2023
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/40701/1/CA19030.pdf
http://umpir.ump.edu.my/id/eprint/40701/
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spelling my.ump.umpir.407012024-03-18T06:17:20Z http://umpir.ump.edu.my/id/eprint/40701/ Sales Prediction Using Artificial Neural Network Ilham Ariff, Mohammad Fadzli QA75 Electronic computers. Computer science 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. 2023-07 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40701/1/CA19030.pdf Ilham Ariff, Mohammad Fadzli (2023) Sales Prediction Using Artificial Neural Network. Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah.
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ilham Ariff, Mohammad Fadzli
Sales Prediction Using Artificial Neural Network
description 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.
format Undergraduates Project Papers
author Ilham Ariff, Mohammad Fadzli
author_facet Ilham Ariff, Mohammad Fadzli
author_sort Ilham Ariff, Mohammad Fadzli
title Sales Prediction Using Artificial Neural Network
title_short Sales Prediction Using Artificial Neural Network
title_full Sales Prediction Using Artificial Neural Network
title_fullStr Sales Prediction Using Artificial Neural Network
title_full_unstemmed Sales Prediction Using Artificial Neural Network
title_sort sales prediction using artificial neural network
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40701/1/CA19030.pdf
http://umpir.ump.edu.my/id/eprint/40701/
_version_ 1822924196089430016
score 13.232432

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