Project Selection: Artificial Neural Network Approach
Olanrewaju Oludolapo Akanni,
Jimoh Abdul-Ganiyu Adisa,
Kholopane Pule
Issue:
Volume 1, Issue 3, October 2013
Pages:
37-42
Received:
7 August 2013
Published:
20 October 2013
Abstract: To prioritize projects and satisfy both the investors and the society from benefitting from the projects, a mathematical tool which has the characteristics of prediction and evaluation is required. If a dependable forecasting model could be achieved, it will be very valuable for the assessment and selection of projects. This paper employs artificial neural network (ANN) technique in the selection of projects. To demonstrate this technique, the ANN modelis illustrated using Oral, Kettani and Lang’s data on 37 R&D projects for its success. From the validation analysis, it was discovered that artificial neural network displayed a high potential to deciding how projects should be ranked and selected.
Abstract: To prioritize projects and satisfy both the investors and the society from benefitting from the projects, a mathematical tool which has the characteristics of prediction and evaluation is required. If a dependable forecasting model could be achieved, it will be very valuable for the assessment and selection of projects. This paper employs artificia...
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