A hybrid variable selection method combining Fisher's linear discriminant combined population analysis and an improved binary cuckoo search algorithm

Chen, Shuobo; Du, Kang; Shan, Baoming; Xu, Qilei; Zhang, Fangkun

doi:10.1039/d3ay01942j

Anal. Methods

2024

DOI: 10.1039/d3ay01942j

|View full text |Cite

A hybrid variable selection method combining Fisher's linear discriminant combined population analysis and an improved binary cuckoo search algorithm

Shuobo Chen,

Kang Du,

Baoming Shan

et al.

Abstract: In this paper, a novel hybrid variable selection method for model building by near-infrared (NIR) spectroscopy is proposed for composition measurement in industrial processes.

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A hybrid variable selection method combining Fisher's linear discriminant combined population analysis and an improved binary cuckoo search algorithm

Abstract: In this paper, a novel hybrid variable selection method for model building by near-infrared (NIR) spectroscopy is proposed for composition measurement in industrial processes.

Cited by 0 publications

References 35 publications

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