Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri

The aim of this project is to develop a Travel Route Advisor, which apply Artificial Neural Network ANN). The system has the ability to predict the most efficient solution of the available routes. The first chapter is the introduction. It give an overview of the project. It describes the objectives...

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Main Author: Aznuf Hafeez , Kaswuri
Format: Thesis
Published: 2003
Subjects:
Online Access:http://studentsrepo.um.edu.my/12308/1/aznur_hafeez_kaswuri_0203.pdf
http://studentsrepo.um.edu.my/12308/
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author Aznuf Hafeez , Kaswuri
author_facet Aznuf Hafeez , Kaswuri
author_sort Aznuf Hafeez , Kaswuri
building UM Library
collection Institutional Repository
content_provider Universiti Malaya
content_source UM Student Repository
continent Asia
country Malaysia
description The aim of this project is to develop a Travel Route Advisor, which apply Artificial Neural Network ANN). The system has the ability to predict the most efficient solution of the available routes. The first chapter is the introduction. It give an overview of the project. It describes the objectives scope and limitation of the project. Chapter 2 is for the literature review. It contains a review of studies done in related fields. It includes some studies in artificial intelligence and artificial neural networks as well. Chapter 3 is about system methodology. It describes the steps taken to accomplish this project and development method taken. Chapter 4 is for system analysis, which cover the system requirements and the project schedule. Chapter 5 is about system design. It includes the design of the system proposed. It contains the core modules of the system, namely database, ANN and GUI modules.Chapter 6 is for the system implementation. It describes the trans formation of the modules into programming code. Chapter 7 is for system testing. Tests had been made to verify whether the system have met the requirements.The discussion chapter, which is chapter 8, contains the discussion on the result , the problem encountered, the solution taken and the conclusion of the project.
format Thesis
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institution Universiti Malaya
publishDate 2003
record_format eprints
spelling my.um.stud-123082021-09-22T19:57:58Z Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri Aznuf Hafeez , Kaswuri QA75 Electronic computers. Computer science QA76 Computer software The aim of this project is to develop a Travel Route Advisor, which apply Artificial Neural Network ANN). The system has the ability to predict the most efficient solution of the available routes. The first chapter is the introduction. It give an overview of the project. It describes the objectives scope and limitation of the project. Chapter 2 is for the literature review. It contains a review of studies done in related fields. It includes some studies in artificial intelligence and artificial neural networks as well. Chapter 3 is about system methodology. It describes the steps taken to accomplish this project and development method taken. Chapter 4 is for system analysis, which cover the system requirements and the project schedule. Chapter 5 is about system design. It includes the design of the system proposed. It contains the core modules of the system, namely database, ANN and GUI modules.Chapter 6 is for the system implementation. It describes the trans formation of the modules into programming code. Chapter 7 is for system testing. Tests had been made to verify whether the system have met the requirements.The discussion chapter, which is chapter 8, contains the discussion on the result , the problem encountered, the solution taken and the conclusion of the project. 2003-02 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/12308/1/aznur_hafeez_kaswuri_0203.pdf Aznuf Hafeez , Kaswuri (2003) Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri. Undergraduates thesis, University of Malaya. http://studentsrepo.um.edu.my/12308/
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Aznuf Hafeez , Kaswuri
Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri
title Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri
title_full Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri
title_fullStr Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri
title_full_unstemmed Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri
title_short Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri
title_sort travel route advisor with artificial neural network (traann) / aznuf hafeez kaswuri
topic QA75 Electronic computers. Computer science
QA76 Computer software
url http://studentsrepo.um.edu.my/12308/1/aznur_hafeez_kaswuri_0203.pdf
http://studentsrepo.um.edu.my/12308/
url_provider http://studentsrepo.um.edu.my/