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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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Bibliographic Details
Main Author: Tamby, Azhar
Format: Student Project
Language:English
Published: Faculty of Information Technology and Quantitative Sciences 2006
Subjects:
Marketing research. Marketing research companies. Sales forecasting
Neural networks (Computer science)
Algorithms
Restaurants, cafeterias, tearooms, etc.
Online Access:http://ir.uitm.edu.my/id/eprint/1386/1/PPb_AZHAR%20TAMBY%20CS%2006_5%201.pdf
http://ir.uitm.edu.my/id/eprint/1386/
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Summary: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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