A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction

To address the shortcomings in many traditional spectral feature extraction algorithms in practical application of low modeling accuracy and poor stability, this paper introduces the “Boruta algorithm-based local optimization process“ based on the traditional simulated annealing algorithm and propos...

Descripción completa

Detalles Bibliográficos
Autores principales: Pei, Jian, Xu, Liang, Huang, Yitong, Jiao, Qingbin, Yang, Mingyu, Ma, Ding, Jiang, Sijia, Li, Hui, Li, Yuhang, Liu, Siqi, Zhang, Wei, Zhang, Jiahang, Tan, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865617/
https://www.ncbi.nlm.nih.gov/pubmed/36679691
http://dx.doi.org/10.3390/s23020893

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865617/
https://www.ncbi.nlm.nih.gov/pubmed/36679691
http://dx.doi.org/10.3390/s23020893

Ejemplares similares