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Updated: Jul 28, 2025

Analyzing the Photo-oxidation of 2-propanol at Indoor Air Level Concentrations Using Field Asymmetric Ion Mobility Spectrometry
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Analyzing the Photo-oxidation of 2-propanol at Indoor Air Level Concentrations Using Field Asymmetric Ion Mobility Spectrometry

Published on: June 14, 2018

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主要组件分析-多变量自适应回归线 (PCA-MARS) 和反向传播-人工神经网络 (BP-ANN) 方法用于使用ATR-FTIR光谱学预测氧化脱硫系统的效率

Mina Sadrara1, Mohammadreza Khanmohammadi Khorrami1

  • 1Chemistry Department, Faculty of Science, Imam Khomeini International University, 3414896818 Qazvin, Iran.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|June 3, 2023
PubMed
概括

主要组件分析-多变量自适应回归线 (PCA-MARS) 和PCA回传播人工神经网络 (PCA-BP-ANN) 准确预测氧化脱硫 (ODS) 后的硫度. 这些强大的模型为监测ODS性能提供了比遗传算法部分最小方程 (GA-PLS) 更好的预测准确性.

关键词:
背向传播的人工神经网络 (BP-ANN)多变量自适应回归线 (MARS)氧化脱硫法 氧化脱硫法主要组成部分分析 (PCA)回归是一种回归.硫二烯 硫二烯 是一种

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Characterization, Quantification and Compound-specific Isotopic Analysis of Pyrogenic Carbon Using Benzene Polycarboxylic Acids BPCA08:12

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