The Use of Artificial Neural Networks for Technology Selection in the Presence of both Continuous and Categorical Data

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Author(s)
Saen, Reza Farzipoor
Griffith University Author(s)
Year published
2009
Metadata
Show full item recordAbstract
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.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.
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Journal Title
World Applied Sciences Journal
Volume
6
Issue
9
Publisher URI
Copyright Statement
© 2009 IDOSI. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Subject
Commerce, Management, Tourism and Services not elsewhere classified