Detection of total iron content based on improved extreme learning machine. Issue 4 (21st April 2022)

• Record Type: Journal Article
• Authors: Fu, Yanhua; Jiang, Lujie; Zhang, Yalin; Wan, Lushan; Xiao, Dong
• Is Part Of: Spectroscopy letters. Volume 55:Issue 4(2022)
• Page Start: 284
• Page End: 289
• Publication Date: 2022-04-21
• Subjects: Dense connection -- extreme learning machine -- hematite -- spectrum; Spectrum analysis -- Periodicals; 543.5
• DOI: 10.1080/00387010.2022.2065307
• Languages: English
• ISSNs: 0038-7010

Abstract

Abstract: The average grade of iron ore is low in China, and it is significant for the effective utilization of iron ore to obtain grades. In the paper, the high-precision model was constructed based on the spectrum of hematite and the multiple hidden layers extreme learning machine with random values and dense connection, which took the output of all previous layers as the input of each hidden layer. It has achieved high precision during the detection of the total iron content for hematite, which meets the requirements for the construction and development of new green and intelligent mines.