Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry

2004 ◽  
Vol 91 (2) ◽  
pp. 165-177 ◽  
Author(s):  
Sergio Cavalieri ◽  
Paolo Maccarrone ◽  
Roberto Pinto
Crop Science ◽  
2011 ◽  
Vol 51 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Marvellous M. Zhou ◽  
Collins A. Kimbeng ◽  
Thomas L. Tew ◽  
Kenneth A. Gravois ◽  
Michael J. Pontif

Author(s):  
Joarder Kamruzzaman ◽  
Ruhul A. Sarker ◽  
Rezaul K. Begg

In today’s global market economy, currency exchange rates play a vital role in national economy of the trading nations. In this chapter, we present an overview of neural network-based forecasting models for foreign currency exchange (forex) rates. To demonstrate the suitability of neural network in forex forecasting, a case study on the forex rates of six different currencies against the Australian dollar is presented. We used three different learning algorithms in this case study, and a comparison based on several performance metrics and trading profitability is provided. Future research direction for enhancement of neural network models is also discussed.


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