Permanganate index detection using multi-spectral images combined with BP neural network algorithm-Reference-Cited by-同舟云学术

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Permanganate index detection using multi-spectral images combined with BP neural network algorithm

Published:2022-10 Issue: Volume:268 Page:169787
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Mao Tianyu,Jiang Chunxiang,Bian Haiyi,Meng Xin,Jiang Chengwei,Cai Yuanxue

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference24 articles.

1. State Environmental Protection Administration (SEPA), 1989. Water Quality: Determination of Permanganate Index. (GB11892–89.) Standards Press, Beijing, pp. 184e186 (In Chinese).

2. Environmental Quality Standard for Surface Water (GB3838-2002).;State Environmental Protection Administration (SEPA),2002

3. A 3-step chemiluminescence method for chemical oxygen demand measurement;Do;Anal. Sci.,2017

4. Chemiluminescence detection of permanganate index (CODMn) bya luminol-KMnO4 based reaction;Jinjun;J. Environ. Sci.,2008

5. Thermal biosensors and their applications;Vasuki;Am. Int. J. Res. Sci. Tech. Eng. Math.,2019

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2. Optimization of Process Parameters for Laser Cutting of AZ31B Magnesium Alloy Based on Orthogonal Experiment and BP Neural Network;Transactions of the Indian Institute of Metals;2023-03-18

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