Jurnal Riset Ilmu Teknik,
Год журнала:
2023,
Номер
1(1), С. 45 - 57
Опубликована: Май 31, 2023
The
development
of
technology
today
is
widely
misused
by
some
people
who
intend
to
forge
paper
on
documents
and
books.
One
way
find
out
the
authenticity
a
knowing
its
age.
age
can
be
known
in
several
ways:
carbon
dating,
uranium
potassium-argon
dating.
But
these
methods
still
have
weaknesses,
requiring
sophisticated
equipment
at
high
cost,
long
processes
get
results
limited
access.
To
solve
this
problem,
researchers
made
an
application
that
identify
range
sheet
with
faster
process,
low
cost
does
not
used
laboratory
employees
alone.
Paper
Age
Prediction
Application
desktop-based,
using
MATLAB
programming
language
Anfis
Sugeno
(TSK)
Gaussian
membership
function
method.
Image
processing
taking
average
values
C,
M,
Y,
K
from
70
images
as
database
will
trained
ANFIS.
research
method
uses
interviews,
observations,
literature
studies—the
prototype
test
showed
success
rate
identifying
60
data
had
been
100%
against
40
42.5%.
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Янв. 24, 2023
Pillar
stability
is
an
important
condition
for
safe
work
in
room-and-pillar
mines.
The
instability
of
pillars
will
lead
to
large-scale
collapse
hazards,
and
the
accurate
estimation
induced
stresses
at
different
positions
pillar
helpful
design
guaranteeing
stability.
There
are
many
modeling
methods
evaluate
their
stability,
including
empirical
numerical
method.
However,
difficult
be
applied
places
other
than
original
environmental
characteristics,
often
simplify
boundary
conditions
material
properties,
which
cannot
guarantee
design.
Currently,
machine
learning
(ML)
algorithms
have
been
successfully
assessment
with
higher
accuracy.
Thus,
study
adopted
a
back-propagation
neural
network
(BPNN)
five
elements
sparrow
search
algorithm
(SSA),
gray
wolf
optimizer
(GWO),
butterfly
optimization
(BOA),
tunicate
swarm
(TSA),
multi-verse
(MVO).
Combining
metaheuristic
algorithms,
hybrid
models
were
developed
predict
stress
within
pillar.
weight
threshold
BPNN
model
optimized
by
mean
absolute
error
(MAE)
utilized
as
fitness
function.
A
database
containing
149
data
samples
was
established,
where
input
variables
angle
goafline
(A),
depth
working
coal
seam
(H),
specific
gravity
(G),
distance
point
from
center
(C),
(D),
output
variable
stress.
Furthermore,
predictive
performance
proposed
evaluated
metrics,
namely
coefficient
determination
(R
2
),
root
squared
(RMSE),
variance
accounted
(VAF),
(MAE),
percentage
(MAPE).
results
showed
that
good
prediction
performance,
especially
GWO-BPNN
performed
best
(Training
set:
R
=
0.9991,
RMSE
0.1535,
VAF
99.91,
MAE
0.0884,
MAPE
0.6107;
Test
0.9983,
0.1783,
99.83,
0.1230,
0.9253).
Jurnal Riset Ilmu Teknik,
Год журнала:
2023,
Номер
1(1), С. 45 - 57
Опубликована: Май 31, 2023
The
development
of
technology
today
is
widely
misused
by
some
people
who
intend
to
forge
paper
on
documents
and
books.
One
way
find
out
the
authenticity
a
knowing
its
age.
age
can
be
known
in
several
ways:
carbon
dating,
uranium
potassium-argon
dating.
But
these
methods
still
have
weaknesses,
requiring
sophisticated
equipment
at
high
cost,
long
processes
get
results
limited
access.
To
solve
this
problem,
researchers
made
an
application
that
identify
range
sheet
with
faster
process,
low
cost
does
not
used
laboratory
employees
alone.
Paper
Age
Prediction
Application
desktop-based,
using
MATLAB
programming
language
Anfis
Sugeno
(TSK)
Gaussian
membership
function
method.
Image
processing
taking
average
values
C,
M,
Y,
K
from
70
images
as
database
will
trained
ANFIS.
research
method
uses
interviews,
observations,
literature
studies—the
prototype
test
showed
success
rate
identifying
60
data
had
been
100%
against
40
42.5%.
