Detecting human influence on climate using neural networks based Granger causality

被引：22
作者：
Attanasio, A. [1 ]
Triacca, U. [1 ]
机构：
[1] Univ Aquila, I-67100 Laquila, Italy
来源：
THEORETICAL AND APPLIED CLIMATOLOGY | 2011年 / 103卷 / 1-2期
关键词：
TIME-SERIES; MODEL; PREDICTION;
D O I：
10.1007/s00704-010-0285-8
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
In this note we observe that a problem of linear approach to Granger causality testing between CO2 and global temperature is that such tests can have low power. The probability to reject the null hypothesis of non-causality when it is false is low. Regarding non-linear Granger causality, based on multi-layer feed-forward neural network, the analysis provides evidence of significant unidirectional Granger causality from CO2 to global temperature.
引用
收藏
页码：103 / 107
页数：5
相关论文
共 50 条
  • [21] Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
    Perez, Husein
    Tah, Joseph H. M.
    Mosavi, Amir
    SENSORS, 2019, 19 (16)
  • [22] Granger Causality-Based Pain Classification Using EEG Evoked by Electrical Stimulation Targeting Nociceptive Aδ and C Fibers
    Tripanpitak, Kornkanok
    He, Siyu
    Sonmezisik, Ilker
    Morant, Thibaut
    Huang, Shao Ying
    Yu, Wenwei
    IEEE ACCESS, 2021, 9 : 10089 - 10106
  • [23] A vibration-based approach for detecting arch dam damage using RBF neural networks and Jaya algorithms
    Zar, Ali
    Hussain, Zahoor
    Akbar, Muhammad
    Tayeh, Bassam A.
    Lin, Zhibin
    SMART STRUCTURES AND SYSTEMS, 2023, 32 (05) : 319 - 338
  • [24] Identification of nonlinear systems with outliers using wavelet neural networks based on annealing dynamical learning algorithm
    Ko, Chia-Nan
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 25 (03) : 533 - 543
  • [25] Detecting Inaccurate Sensors on a Large-Scale Sensor Network Using Centralized and Localized Graph Neural Networks
    Wu, Dennis Y.
    Lin, Tsu-Heng
    Zhang, Xin-Ru
    Chen, Chia-Pan
    Chen, Jia-Hui
    Chen, Hung-Hsuan
    IEEE SENSORS JOURNAL, 2023, 23 (15) : 16446 - 16455
  • [26] Traffic Flow Analysis Based on the Real Data Using Neural Networks
    Pamula, Teresa
    TELEMATICS IN THE TRANSPORT ENVIRONMENT, 2012, 329 : 364 - 371
  • [27] Analysis of Precipitation Variability using Memory Based Artificial Neural Networks
    Debbarma, Shyama
    Choudhury, Parthasarathi
    Roy, Parthajit
    Kumar, Ram
    INTERNATIONAL JOURNAL OF APPLIED METAHEURISTIC COMPUTING, 2019, 10 (01) : 29 - 42
  • [28] Human Gait Analysis using Artificial Neural Networks
    Britto, Arun Vino
    Ansari, Vaqar
    2018 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC 2018), 2018, : 248 - 253
  • [29] INFLUENCE OF CHINA'S LIGHTING INDUSTRY ON URBAN NIGHT-TIME TOURISM ECONOMIC DEVELOPMENT: BASED ON COINTEGRATION TEST AND GRANGER CAUSALITY TEST
    Li, Mingwei
    Yang, Haiyan
    Tao, Jiajie
    Fu, Yajing
    Jiao, Junfeng
    LIGHT & ENGINEERING, 2024, 32 (02): : 118 - 130
  • [30] HuMAn - the Human Motion Anticipation Algorithm Based on Recurrent Neural Networks
    Noppeney, Victor
    Escalante, Felix M.
    Maggi, Lucas
    Boaventura, Thiago
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (12): : 11521 - 11528
12345