The Use of Artificial Neural Networks for Technology Selection in the Presence of Both Continuous and Categorical Data
Reza Farzipoor Saen · Griffith Research Online · 2009
Abstract: The objective of this paper is to propose a new use of Artificial Neural Networks (ANNs) for technology selection in the presence of both continuous and categorical data. To indicate the relative importance of the ANN inputs to the result of the network, a methodology for sensitivity analysis is presented. A numerical example demonstrates the application of the proposed method. Key words: Technology selection % Artificial neural networks % Backpropagation algorithm INTRODUCTION the ANNs as a parallel distributed data process system. Selecting the right technology is always a difficult classification, generalization, characterization and task for decision makers. Technologies have varied optimization. strengths and weaknesses which require careful assessment by the purchasers. Technology selection In this paper, the ANN is used for technology