Identification of conifer species based on laboratory spectroscopy and an artificial neural network

被引:0
|
作者
College of Information Science and Technology, Beijing Forestry University, Beijing [1 ]
100083, China
机构
来源
J. Softw. Eng. | / 2卷 / 362-372期
关键词
Engineering Village;
D O I
暂无
中图分类号
学科分类号
摘要
Coniferous species - Hyperspectral Data - Hyperspectral data analysis - Laboratory spectroscopy - Laplace functions - Novel neural network - Prediction accuracy - Remote identification
引用
收藏
相关论文
共 50 条
  • [21] Id Card Number identification Based on Artificial Neural Network
    Ning, Miao
    2016 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS), 2016, : 207 - 212
  • [22] Artificial neural network based fault identification of HVDC converter
    Bawane, N
    Kothari, AG
    IEEE INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES, PROCEEDINGS, 2003, : 152 - 157
  • [23] Crack identification by artificial neural network
    Hwu, CB
    Liang, YC
    FRACTURE AND STRENGTH OF SOLIDS, PTS 1 AND 2: PT 1: FRACTURE MECHANICS OF MATERIALS; PT 2: BEHAVIOR OF MATERIALS AND STRUCTURE, 1998, 145-9 : 405 - 410
  • [24] Identification of blood species based on surface-enhanced Raman scattering spectroscopy and convolutional neural network
    Chen, Jiansheng
    Wang, Peng
    Tian, Yubing
    Zhang, Rui
    Sun, Jiaojiao
    Zhang, Zhiqiang
    Gao, Jing
    JOURNAL OF BIOPHOTONICS, 2023, 16 (02)
  • [25] Qualitative identification of waste textiles based on near-infrared spectroscopy and the back propagation artificial neural network
    Li, Wenxia
    Wei, Zihan
    Liu, Zhengdong
    Du, Yujun
    Zheng, Jiahui
    Wang, Huaping
    Zhang, Shuo
    TEXTILE RESEARCH JOURNAL, 2021, 91 (21-22) : 2459 - 2467
  • [26] Artificial neural network in the discrimination of lung cancer based on infrared spectroscopy
    Lugtu, Eiron John
    Ramos, Denise Bernadette
    Agpalza, Alliah Jen
    Cabral, Erika Antoinette
    Carandang, Rian Paolo
    Dee, Jennica Elia
    Martinez, Angelica
    Jose, Julius Eleazar
    Santillan, Abegail
    Bangaoil, Ruth
    Albano, Pia Marie
    Tomas, Rock Christian
    PLOS ONE, 2022, 17 (05):
  • [27] The application of an artificial neural network in the identification of medicinal rhubarbs by near-infrared spectroscopy
    Xiang, L
    Fan, GQ
    Li, JH
    Kang, H
    Yan, YL
    Zheng, JH
    Guo, D
    PHYTOCHEMICAL ANALYSIS, 2002, 13 (05) : 272 - 276
  • [28] Laser-induced breakdown spectroscopy with artificial neural network processing for material identification
    Koujelev, A.
    Sabsabi, M.
    Motto-Ros, V.
    Laville, S.
    Lui, S. L.
    PLANETARY AND SPACE SCIENCE, 2010, 58 (04) : 682 - 690
  • [29] Artificial Neural Network based Modulation Identification for Elastic Optical Networks
    Zhang, Q. W.
    Liu, M.
    Zhou, H.
    Chen, J.
    Cao, B. Y.
    Song, Y. X.
    Zhang, J. J.
    Li, Y. C.
    Wang, M.
    23RD OPTO-ELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC2018), 2018,
  • [30] Investigation into an artificial neural network based fault identification of HVDC converter
    Bawane, N
    Kothari, AG
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2004, 13 (04) : 813 - 827