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

M. S. Javed, A. Mahmood, S. Sulaiman
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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.
人工神经网络在巴基斯坦高等院校项目绩效中的作用
高等教育委员会(HEC)是巴基斯坦政府的著名机构之一,其主要目标是将巴基斯坦的高等教育机构(HLI)升级为教育、研究和发展的中心。本文的目的是研究人工神经网络(ANN)技术在资本项目风险分析中的应用。该技术的使用将有助于决策者在巴基斯坦HLI项目的前端阶段提高决策过程的有效性。人工神经网络作为一种决策系统,突出了其相对于传统系统的优势。人工神经网络模型在预测工程造价和时间变化方面具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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