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

Tamby, Azhar (2006) A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby. [Student Project] (Unpublished)

Abstract

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.

Metadata

Item Type:	Student Project
Creators:	Creators Email / ID Num. Tamby, Azhar 2004633108
Subjects:	H Social Sciences > HF Commerce > Marketing > Marketing research. Marketing research companies. Sales forecasting Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science) Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms T Technology > TX Home economics > Restaurants, cafeterias, tearooms, etc.
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme:	Bachelor of Science (Hons) Intelligent System
Keywords:	Sales forecast, Learning algorithm, Neural networks, Restaurants
Date:	2006
URI:	https://ir.uitm.edu.my/id/eprint/1386