光谱学与光谱分析, 2019, 39 (12): 3755, 网络出版: 2020-01-07   

基于一维卷积神经网络的雌激素粉末拉曼光谱定性分类

Qualitative Analysis Method for Raman Spectroscopy of Estrogen Based on One-Dimensional Convolutional Neural Network
作者单位
1 燕山大学电气工程学院, 河北省测试计量技术及仪器重点实验室, 河北 秦皇岛 066004
2 燕山大学信息科学与工程学院, 河北省特种光纤与光纤传感重点实验室, 河北 秦皇岛 066004
引用该论文

赵勇, 荣康, 谈爱玲. 基于一维卷积神经网络的雌激素粉末拉曼光谱定性分类[J]. 光谱学与光谱分析, 2019, 39(12): 3755.

ZHAO Yong, RONG Kang, TAN Ai-ling. Qualitative Analysis Method for Raman Spectroscopy of Estrogen Based on One-Dimensional Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2019, 39(12): 3755.

参考文献

[1] Schlücker S. Angewandte Chemie International Edition, 2014, 53(19): 4756.

[2] Wang Alan, Kong Xianming. Materials, 2015, 8(6): 3024.

[3] Tan Ailing, Zhao Yong, Sivashanmugan Kundan, et al. Food Control, 2019, 103: 111.

[4] Aron Hakonen, Per Ola Andersson, Michael Stenbk Schmidt, et al. Analytica Chimica Acta, 2015, 893: 1.

[5] Sainath T N, Kingsbury B, Saon G, et al. Neural Networks, 2015, 64: 39.

[6] Gu J, Wang Z, Kuen J, et al. Computer Science, 2015. arXiv: 1512. 07108.

[7] Krizhevsky A, Sutskever I, Hinton G. Advances in Neural Information Processing Systems, 2012, 25(2): 1097.

[8] Simonyan K, Zisserman A. Computer Science, 2015. arXiv 1409. 1556.

[9] Szegedy C, Liu W, Jia Y, et al. 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. 1.

[10] He K, Zhang X, Ren S, et al. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2016. 770.

[11] LE Ba Tuan, XIAO Dong, MAO Ya-chun, et al(LE Ba Tuan, 肖 冬, 毛亚纯, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2018, 38(7): 2107.

[12] Liu J, Osadchy M, Ashton L, et al. Analyst, 2017, 142(21): 4067.

[13] Liu J, Gibson S J, Mills J, et al. Chemometrics and Intelligent Laboratory Systems, 2019, 184: 175.

赵勇, 荣康, 谈爱玲. 基于一维卷积神经网络的雌激素粉末拉曼光谱定性分类[J]. 光谱学与光谱分析, 2019, 39(12): 3755. ZHAO Yong, RONG Kang, TAN Ai-ling. Qualitative Analysis Method for Raman Spectroscopy of Estrogen Based on One-Dimensional Convolutional Neural Network[J]. Spectroscopy and Spectral Analysis, 2019, 39(12): 3755.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!