Intelligent inventory forecasting system / Fadzlinor Mustapa

Mustapa, Fadzlinor (2006) Intelligent inventory forecasting system / Fadzlinor Mustapa. [Student Project] (Unpublished)

Abstract

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.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Mustapa, Fadzlinor
UNSPECIFIED
Subjects: H Social Sciences > HD Industries. Land use. Labor > Management. Industrial Management > Forecasting
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science)
T Technology > T Technology (General) > Technological change > Technological forecasting
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Keywords: Forecasting system, Inventory, Artificial neural networks
Date: 2006
URI: https://ir.uitm.edu.my/id/eprint/1433
Edit Item
Edit Item

Download

[thumbnail of PPb_FADZLINOR MUSTAPA CS 06_5 1.pdf] Text
PPb_FADZLINOR MUSTAPA CS 06_5 1.pdf

Download (70kB)

Fulltext

Fulltext is available at:

ID Number

1433

Indexing

|

Statistic

Statistic details