In
recent
years,
with
the
improvement
of
computer
problem-solving
ability
and
continuous
development
progress
artificial
intelligence
technology,
application
"AI+"
has
gradually
appeared,
that
is,
technology
been
used
in
various
industries.
For
example,
field
management,
as
a
manager,
he
needs
to
constantly
improve
his
management
ability,
so
buy
management-related
books.
order
help
grasp
historical
price
trend
related
books,
this
paper
takes
book
"21
Rules
Deep
Management"
an
puts
forward
method
analyze
predict
books
by
using
machine
learning
algorithm
model.
This
first
analyzes
visualizes
data,
initially
understands
data
distribution;
Then
there
is
modeling
mining
deep
information
six
models
are
model
respectively.
After
above
training
completed,
can
be
analyzed
predicted,
problem
obtaining
lowest
solved.
Ecological Informatics,
Journal Year:
2024,
Volume and Issue:
82, P. 102711 - 102711
Published: June 29, 2024
Accurate
prediction
of
wildfire
behaviour
is
critical
for
safe
and
effective
fire
management
suppression.
This
study
focused
on
developing
evaluating
machine
learning
(ML)
models
based
a
dataset
collected
outdoor
experimental
fires
in
Canadian
conifer
forests.
Binary
classification
(surface
vs.
crown
fire)
multi-class
type
(surface,
passive
crown,
active
crown)
were
created
using
ensemble
tree
methods
(Random
Forest,
XGBoost)
automated
ML
(AutoGluon,
TabPFN).
Generative
adversarial
networks
(GAN)
used
to
generate
synthetic
data
overcome
imbalances
the
distribution.
The
results
show
applied
binary
problem
perform
best
all
tested
methods,
with
an
overall
accuracy
91%.
TabPFN
had
highest
problem,
use
GAN
improving
model
fit.
Results
overfitting
issues
some
models,
highlighting
need
independent
evaluation
when
are
developed.
have
potential
application
supporting
management,
namely
fuel
identifying
situations
high
spread
intensity
that
can
impact
firefighter
safety.
In
recent
years,
with
the
improvement
of
computer
problem-solving
ability
and
continuous
development
progress
artificial
intelligence
technology,
application
"AI+"
has
gradually
appeared,
that
is,
technology
been
used
in
various
industries.
For
example,
field
management,
as
a
manager,
he
needs
to
constantly
improve
his
management
ability,
so
buy
management-related
books.
order
help
grasp
historical
price
trend
related
books,
this
paper
takes
book
"21
Rules
Deep
Management"
an
puts
forward
method
analyze
predict
books
by
using
machine
learning
algorithm
model.
This
first
analyzes
visualizes
data,
initially
understands
data
distribution;
Then
there
is
modeling
mining
deep
information
six
models
are
model
respectively.
After
above
training
completed,
can
be
analyzed
predicted,
problem
obtaining
lowest
solved.
