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NN-TSV, NCEP neural network training and validation system; brief description of NN background and training software



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  • Alternative Title:
    Brief description of NN background and training software
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  • Description:
    This Note describes neural network (NN) training and validation system (TVS) or NN-TVS developed at NCEP (EMC). Section 1 of this Note is an introductory section. Section 2 presents a brief NN tutorial containing limited discussion of basic ideas of NN technique and NN features implemented in the NN-TVS system. Some of the NN features discussed in Section 2 have not yet been implemented in the NN-TVS system and are expected to be implemented in following versions of the system. Section 3 contains a description of the NN-TVS structure and functional relationships between blocks. It also describes scripts necessary for running the system on NCEP computers. Section 4 contains a description of FORTRAN module neural.f90 that can be used to run the trained NN in applications. Section 5 contains appendixes with information about the data files used in NN-TVS (Appendix 1); also the functions and subroutines constituting the NN-TVS system are listed in Appendix 2. The text of the FORTRAN module neural.f90 is presented in Appendix 3. Appendix 4 explains the evaluation statistics that are used in the NN-TVS evaluations of NN training results. doi:10.7289/V5QR4V2Z (http://dx.doi.org/10.7289/V5QR4V2Z)
  • Content Notes:
    Vladimir M. Krasnopolsky, Environmental Modeling Center, NCEP/NWS, NOAA.

    "MMAB Contribution No. 320."

    "October 2014"

    doi:10.7289/V5QR4V2Z (http://dx.doi.org/10.7289/V5QR4V2Z)

    System requirements: Adobe Acrobat Reader.

    Includes bibliographical references (pages 34-37).
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    Public Domain
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    Filetype[PDF - 1.60 MB]
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    urn:sha256:36d88b402260f97a7d0d630e9b7614c9ee7a8dd3685e262327fc75663276b0f1
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