Page 323 - Machine Learning for Subsurface Characterization

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Representative materials containing discontinuities of various spatial distributions generated based on random, linear, unimodal Gaussian, and bimodal
noninvasive Gaussian.

the
for double
classifiers (D) and

train Gaussian,
to
datasets single

four (C)
the linear,
generate (B)

to Random,
used
are (A)
plots distributions.
upper

in various
presented of

those
to discontinuities
similar static

Materials containing

functions. materials

intensity of

FIG. 9.25 Gaussian acterization