Neural network classification of discontinuities in space plasma parameters

被引：0
|
作者：
N. A. Barkhatov
S. E. Revunov
机构：
[1] Nizhny Novgorod State Pedagogical University,
来源：
Geomagnetism and Aeronomy | 2010年 / 50卷
关键词：
Shock Wave; Solar Wind; Interplanetary Magnetic Field; Contact Discontinuity; Manual Classification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The artificial neural network technique is applied to dividing discontinuities in space plasma and magnetic field parameters into classes corresponding to known types of magnetohydrodynamic discontinuities. Parameter discontinuities registered on the WIND spacecraft between 1996 and 1999 are classified using a network of the Kohonen Layer type. An algorithm for determining the orientation of discontinuity surfaces on the basis of one-dimensional observations of solar wind parameter discontinuities on board spacecraft is proposed.
引用
收藏
页码：894 / 904
页数：10
相关论文
共 50 条
  • [1] Neural Network Classification of Discontinuities in Space Plasma Parameters
    Barkhatov, N. A.
    Revunov, S. E.
    GEOMAGNETISM AND AERONOMY, 2010, 50 (07) : 894 - 904
  • [2] Neural network parameters affecting image classification
    Tiwari, KC
    DEFENCE SCIENCE JOURNAL, 2001, 51 (03) : 263 - 278
  • [3] A STUDY OF NEURAL NETWORK PARAMETERS FOR IMPROVEMENT IN CLASSIFICATION ACCURACY
    Pathak, Avijit
    Tiwari, K. C.
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXII, 2016, 9840
  • [4] Probabilistic Neural Network - parameters adjustment in classification task
    Kowalski, Piotr A.
    Kusy, Maciej
    Kubasiak, Szymon
    Lukasik, Szymon
    2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2020,
  • [5] Optimization of Convolutional Neural Network Parameters for Image Classification
    Sinha, Toshi
    Verma, Brijesh
    Haidar, Ali
    2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2017,
  • [6] Neural Network Models for Finline Discontinuities
    Jin Long
    Ruan Cheng‐Li
    International Journal of Infrared and Millimeter Waves, 2004, 25 : 1819 - 1827
  • [7] Neural network models for finline discontinuities
    Jin, L
    Ruan, CL
    INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES, 2004, 25 (12): : 1819 - 1827
  • [8] Neural Network Reconstruction of Plasma Space-Time
    Bard, C.
    Dorelli, J. C.
    FRONTIERS IN ASTRONOMY AND SPACE SCIENCES, 2021, 8
  • [9] Neural network classification in non-homogeneous feature space
    Dorogov A.Y.
    Lesnykh V.Y.
    Optical Memory and Neural Networks (Information Optics), 2011, 20 (02): : 120 - 131
  • [10] EFFECTS OF DEEP NEURAL NETWORK PARAMETERS ON CLASSIFICATION OF BEARING FAULTS
    Ahmed, H. O. A.
    Wong, M. L. Dennis
    Nandi, A. K.
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 6329 - 6334
12345