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ICAISC
2004
Springer

Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery

12 years 5 months ago
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative cost recovery. However, it can also be used in other areas of a similar nature. The methodology incorporates a two-stage hybrid mechanism for selection of prediction-relevant features and for forecasting based on this selected sub-space of attributes. The first module of the methodology employs the theory of rough sets (RS) while the second part is based upon artificial neural networks (ANN).
Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M.
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICAISC
Authors Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M. Zurada
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