Quantitative Analysis of Major Metals in Agricultural Biochar Using Laser-Induced Breakdown Spectroscopy with an Adaboost Artificial Neural Network Algorithm.

Duan, Hongwei; Han, Lujia; Huang, Guangqun

Duan, Hongwei; Han, Lujia; Huang, Guangqun.

Afiliação

Duan H; Laboratory of Biomass and Bioprocessing Engineering, College of Engineering, China Agricultural University, Beijing 100083, China. dhwsg123@cau.edu.cn.
Han L; Laboratory of Biomass and Bioprocessing Engineering, College of Engineering, China Agricultural University, Beijing 100083, China. hanlj@cau.edu.cn.
Huang G; Laboratory of Biomass and Bioprocessing Engineering, College of Engineering, China Agricultural University, Beijing 100083, China. huangguangqun@126.com.

Molecules ; 24(20)2019 Oct 18.

Article em En | MEDLINE | ID: mdl-31635230

Assuntos

Carvão Vegetal/química; Metais/análise; Algoritmos; Monitoramento Ambiental; Lasers; Análise dos Mínimos Quadrados; Análise Multivariada; Redes Neurais de Computação

Palavras-chave

BP-Adaboost; LIBS; agricultural biochar; heavy and nutritional metals

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Carvão Vegetal / Metais Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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