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(Unpublished)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 UNSPECIFIED |
| 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 |
| Keywords: | Sales forecast, Learning algorithm, Neural networks, Restaurants |
| Date: | 2006 |
| URI: | https://ir.uitm.edu.my/id/eprint/1386 |
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