Machine Learning Techniques to Mineral Recognition

Machine Learning Techniques to Mineral Recognition deals with the task of classifying minerals from x-ray spectra is a challenging problem using conventional statistical techniques. There are several reasons why they are not completely successful including noise and when x-ray spectra are mixtures of two or more mineral spectra. Machine learning techniques provide an alternative solution to this problem and can also accurately classify mineral spectra. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more Projects.

Author:-Peter William Deacon

Source:- The University of Queensland

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