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Training examples: Learn math operations and a function from a cloud microphysics model #89

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merged 13 commits into from
Oct 1, 2023

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@rouson rouson commented Oct 1, 2023

This PR adds several new examples of training neural networks to accomplish the following tasks:

  • Learn basic math operations by mapping 8 inputs [x(1), ..., x(8)] to the following 6 outputs:
    • Addition: [x(1)+x(2), x(2)+x(3), x(3)+x(4), x(4)+x(5), x(5)+x(6), x(6)+x(8)]
    • Multiplication: [x(1)*x(2), x(2)*x(3), x(3)*x(4), x(4)*x(5), x(5)*x(6), x(6)*x(8)]
    • Exponentiation: [x(1)**2, x(2)**3, x(3)**4, x(4)**4, x(5)**3, x(6)**2]
    • Power series for an exponential function: [1 + x(1) + (x(1)**2)/2 + (x(1)**3)/6, x(2), x(3), x(4), x(5), x(6)]
  • Learn the saturated mixing ratio function from the simple cloud microphysics model in ICAR:

@rouson rouson changed the title Add examples: Train to learn math operations and a function from a cloud microphysics model Training examples: Learn math operations and a function from a cloud microphysics model Oct 1, 2023
@rouson rouson merged commit aa8c8db into main Oct 1, 2023
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@rouson rouson deleted the learn-icar-sat-mr-func branch October 1, 2023 23:29
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