The role of artificial neural network in project performance of Higher Learning Institutions, Pakistan

Author

Javed, Muhammad Salim ; Mahmood, A.K.B. ; Sulaiman, Suziah Bt

Author_Institution

Fac. of Comput. Sci. & Inf., Aljouf Univ., Al-Jawf, Saudi Arabia

fYear

2012

fDate

13-15 Dec. 2012

Firstpage

35

Lastpage

42

Abstract

The Higher Education Commission (HEC) is one of the prestigious institutions of Government of Pakistan its main objective is to upgrade Higher Learning Institutions (HLI) in Pakistan to be centers of education, research and development. The objective of this paper is to study the applications of Artificial Neural Network (ANN) technology particularly in capital project risk analysis. The use of this technology will help the decision makers to improve the effectiveness of the decision making process at the front-end stage of projects in the HLI of Pakistan. The advantages of ANN are highlighted over the traditional system to be used as decision making system. Artificial neural network model is superior in the prediction of project cost and time variations.

Keywords

costing; decision making; educational administrative data processing; educational institutions; further education; neural nets; project management; research and development; risk analysis; ANN technology; HLI; Higher Education Commission; Pakistan; artificial neural network; capital project risk analysis; decision makers; decision making process; education center; higher learning institutions project performance; project cost prediction; project front-end stage; project time variation prediction; research and development center; ANN; HEC; HLI;

fLanguage

English

Publisher

ieee

Conference_Titel

Multitopic Conference (INMIC), 2012 15th International

Conference_Location

Islamabad

Print_ISBN

978-1-4673-2249-2

Type

conf

DOI

10.1109/INMIC.2012.6511455

Filename

6511455