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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Bibliographic Details
Main Author: Mustapa, Fadzlinor
Format: Student Project
Language:English
Published: Faculty of Information Technology and Quantitative Sciences 2006
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/1433/
http://ir.uitm.edu.my/id/eprint/1433/1/PPb_FADZLINOR%20MUSTAPA%20CS%2006_5%201.pdf
id uitm-1433
recordtype eprints
spelling uitm-14332017-02-20T08:34:04Z http://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 http://ir.uitm.edu.my/id/eprint/1433/1/PPb_FADZLINOR%20MUSTAPA%20CS%2006_5%201.pdf Mustapa, Fadzlinor (2006) Intelligent inventory forecasting system / Fadzlinor Mustapa. [Student Project] (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Forecasting
Neural networks (Computer science)
Technological forecasting
spellingShingle Forecasting
Neural networks (Computer science)
Technological forecasting
Mustapa, Fadzlinor
Intelligent inventory forecasting system / Fadzlinor Mustapa
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
author Mustapa, Fadzlinor
author_facet Mustapa, Fadzlinor
author_sort Mustapa, Fadzlinor
title Intelligent inventory forecasting system / Fadzlinor Mustapa
title_short 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_sort intelligent inventory forecasting system / fadzlinor mustapa
publisher Faculty of Information Technology and Quantitative Sciences
publishDate 2006
url http://ir.uitm.edu.my/id/eprint/1433/
http://ir.uitm.edu.my/id/eprint/1433/1/PPb_FADZLINOR%20MUSTAPA%20CS%2006_5%201.pdf
first_indexed 2023-09-18T22:45:49Z
last_indexed 2023-09-18T22:45:49Z
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