Research and Implementation of the Data Fitting Algorithm for Testing the Metallurgical Performance of Iron Ore

Hua Bin Wang; Jin Liang Shi; Dong Xie; Di Jian Xue

doi:10.4028/www.scientific.net/AMR.887-888.248

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 887-888Research and Implementation of the Data Fitting...

Research and Implementation of the Data Fitting Algorithm for Testing the Metallurgical Performance of Iron Ore

Abstract:

In the data processing of iron ore metallurgical properties, the polynomial least squares method or the assumed functions are usually employed to fit the performance curve. This is stuck at a high degree of the polynomial, where the equation group is prone to morbid problems. To solve this problem, the use of orthogonal functions as the least squares method may help draw out the reductioln metallurgical performance curves.

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Periodical:

Advanced Materials Research (Volumes 887-888)

Pages:

248-251

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.887-888.248

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Online since:

February 2014

Authors:

Hua Bin Wang, Jin Liang Shi, Dong Xie, Di Jian Xue

Keywords:

Data Fitting, Least-Square Method (LSM), Orthogonal Functions, Reduction Index

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