Intelligent inventory forecasting system / Fadzlinor Mustapa
This project is about producing a prototype of forecasting system by using artificial neural methods that will forecast stock level in the inventory. More specifically the project forecast the stock level of rice in the inventory for a specific period of time. This project has three objectives to...
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| Format: | Student Project |
| Language: | en |
| Published: |
Faculty of Information Technology and Quantitative Sciences
2006
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/1433/1/PPb_FADZLINOR%20MUSTAPA%20CS%2006_5%201.pdf https://ir.uitm.edu.my/id/eprint/1433/ |
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| _version_ | 1833058102924017664 |
|---|---|
| author | Mustapa, Fadzlinor |
| author_facet | Mustapa, Fadzlinor |
| author_sort | Mustapa, Fadzlinor |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This project is about producing a prototype of forecasting system by using
artificial neural methods that will forecast stock level in the inventory. More
specifically the project forecast the stock level of rice in the inventory for a
specific period of time. This project has three objectives to be achieves. First,
this project will doing a study on the inventory management and gathers all
knowledge regarding the inventory. Second, the project with gather all
knowledge about artificial neural network method. Lastly, this project must
achieve an objective of developing a prototype of intelligent forecasting system
that can make a prediction of the rice's stock level in the inventory. This project
is hopefully can be beneficial to others. The general finding for this project is that
with Back propagation algorithm, the suitable learning rate for forecasting
prototype is 0.1 with architecture 7-11-1 that is seven nodes employed in the
input layer, eleven nodes in the hidden layer and lastly one node employed in
the output layer. |
| format | Student Project |
| id | my.uitm.ir-1433 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2006 |
| publisher | Faculty of Information Technology and Quantitative Sciences |
| record_format | eprints |
| spelling | my.uitm.ir-14332017-02-20T08:34:04Z https://ir.uitm.edu.my/id/eprint/1433/ Intelligent inventory forecasting system / Fadzlinor Mustapa Mustapa, Fadzlinor Forecasting Neural networks (Computer science) Technological forecasting This project is about producing a prototype of forecasting system by using artificial neural methods that will forecast stock level in the inventory. More specifically the project forecast the stock level of rice in the inventory for a specific period of time. This project has three objectives to be achieves. First, this project will doing a study on the inventory management and gathers all knowledge regarding the inventory. Second, the project with gather all knowledge about artificial neural network method. Lastly, this project must achieve an objective of developing a prototype of intelligent forecasting system that can make a prediction of the rice's stock level in the inventory. This project is hopefully can be beneficial to others. The general finding for this project is that with Back propagation algorithm, the suitable learning rate for forecasting prototype is 0.1 with architecture 7-11-1 that is seven nodes employed in the input layer, eleven nodes in the hidden layer and lastly one node employed in the output layer. Faculty of Information Technology and Quantitative Sciences 2006 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/1433/1/PPb_FADZLINOR%20MUSTAPA%20CS%2006_5%201.pdf Intelligent inventory forecasting system / Fadzlinor Mustapa. (2006) [Student Project] (Unpublished) |
| spellingShingle | Forecasting Neural networks (Computer science) Technological forecasting Mustapa, Fadzlinor Intelligent inventory forecasting system / Fadzlinor Mustapa |
| title | Intelligent inventory forecasting system / Fadzlinor Mustapa |
| title_full | Intelligent inventory forecasting system / Fadzlinor Mustapa |
| title_fullStr | Intelligent inventory forecasting system / Fadzlinor Mustapa |
| title_full_unstemmed | Intelligent inventory forecasting system / Fadzlinor Mustapa |
| title_short | Intelligent inventory forecasting system / Fadzlinor Mustapa |
| title_sort | intelligent inventory forecasting system / fadzlinor mustapa |
| topic | Forecasting Neural networks (Computer science) Technological forecasting |
| url | https://ir.uitm.edu.my/id/eprint/1433/1/PPb_FADZLINOR%20MUSTAPA%20CS%2006_5%201.pdf https://ir.uitm.edu.my/id/eprint/1433/ |
| url_provider | http://ir.uitm.edu.my/ |