Abstract
To simplify the complexity of information processing procedure and improve the processing accuracy, the strengths of Rough Sets and Neural Networks were studied. A new method based on Rough Sets and Neural Network for the estimation of Iron ore grade was established. The actual application of Iron Ore Grade showed that the method is effective.
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© 2011 Springer-Verlag Berlin Heidelberg
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Wang, H. (2011). Study on the Method Based on Rough Sets and Neural Network for the Estimation of Iron Ore Grade. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_30
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DOI: https://doi.org/10.1007/978-3-642-23235-0_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23234-3
Online ISBN: 978-3-642-23235-0
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