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2 changes: 1 addition & 1 deletion example/learn-addition.F90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
module addition_m
!! Define a function that produces the desired network output for a given network input
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2 changes: 1 addition & 1 deletion example/learn-exponentiation.F90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
module exponentiation_m
!! Define a function that produces the desired network output for a given network input
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2 changes: 1 addition & 1 deletion example/learn-multiplication.F90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
module multiply_inputs
!! Define a function that produces the desired network output for a given network input
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2 changes: 1 addition & 1 deletion example/learn-power-series.F90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
module power_series
!! Define a function that produces the desired network output for a given network input
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2 changes: 1 addition & 1 deletion example/learn-saturated-mixing-ratio.F90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
program train_saturated_mixture_ratio
!! This program trains a neural network to learn the saturated mixing ratio function of ICAR.
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2 changes: 1 addition & 1 deletion example/read-query-infer.f90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
program read_query_infer
!! This program demonstrates how to read a neural network from a JSON file,
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2 changes: 1 addition & 1 deletion example/supporting-modules/saturated_mixing_ratio_m.f90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
!
! MIT License
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2 changes: 1 addition & 1 deletion example/train-and-write.F90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
program train_and_write
!! This program demonstrates how to train a simple neural network starting from a randomized initial condition and
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2 changes: 1 addition & 1 deletion example/write-read-infer.F90
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! Copyright (c), The Regents of the University of California
! Copyright (c) 2023-2025, The Regents of the University of California
! Terms of use are as specified in LICENSE.txt
program write_read_infer
!! This program demonstrates how to write a neural network to a JSON file,
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