A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby

In this research, there are two algorithm of neural network will be used. It is coming from supervised and unsupervised learning algorithm. The Kohonen Self Organizing Map represents the unsupervised and Backpropagation represent the supervised. There will be a comparative study between these two...

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Main Author: Tamby, Azhar
Format: Student Project
Language:English
Published: Faculty of Information Technology and Quantitative Sciences 2006
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/1386/1/PPb_AZHAR%20TAMBY%20CS%2006_5%201.pdf
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author Tamby, Azhar
author_facet Tamby, Azhar
author_sort Tamby, Azhar
collection UITM
description In this research, there are two algorithm of neural network will be used. It is coming from supervised and unsupervised learning algorithm. The Kohonen Self Organizing Map represents the unsupervised and Backpropagation represent the supervised. There will be a comparative study between these two algorithms with restaurant sales forecast as a scope. Some restaurant activities will be the input for the architecture to make a sales forecast. Each of the algorithm will used all the similar value including the learning rate in this research in order to make the comparison.
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spelling oai:ir.uitm.edu.my:13862017-02-23T06:45:26Z https://ir.uitm.edu.my/id/eprint/1386/ A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby Tamby, Azhar Marketing research. Marketing research companies. Sales forecasting Neural networks (Computer science) Algorithms Restaurants, cafeterias, tearooms, etc. In this research, there are two algorithm of neural network will be used. It is coming from supervised and unsupervised learning algorithm. The Kohonen Self Organizing Map represents the unsupervised and Backpropagation represent the supervised. There will be a comparative study between these two algorithms with restaurant sales forecast as a scope. Some restaurant activities will be the input for the architecture to make a sales forecast. Each of the algorithm will used all the similar value including the learning rate in this research in order to make the comparison. Faculty of Information Technology and Quantitative Sciences 2006 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/1386/1/PPb_AZHAR%20TAMBY%20CS%2006_5%201.pdf A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby. (2006) [Student Project] (Unpublished)
spellingShingle Marketing research. Marketing research companies. Sales forecasting
Neural networks (Computer science)
Algorithms
Restaurants, cafeterias, tearooms, etc.
Tamby, Azhar
A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby
title A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby
title_full A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby
title_fullStr A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby
title_full_unstemmed A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby
title_short A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby
title_sort comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant azhar tamby
topic Marketing research. Marketing research companies. Sales forecasting
Neural networks (Computer science)
Algorithms
Restaurants, cafeterias, tearooms, etc.
url https://ir.uitm.edu.my/id/eprint/1386/1/PPb_AZHAR%20TAMBY%20CS%2006_5%201.pdf
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