Jurnal Riset Ilmu Teknik,
Journal Year:
2023,
Volume and Issue:
1(1), P. 45 - 57
Published: May 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%.
Natural Resources Research,
Journal Year:
2022,
Volume and Issue:
31(5), P. 3017 - 3039
Published: June 20, 2022
Abstract
Backbreak
(BB)
is
one
of
the
serious
adverse
blasting
consequences
in
open-pit
mines,
because
it
frequently
reduces
economic
benefits
and
seriously
affects
safety
mines.
Therefore,
rapid
accurate
prediction
BB
great
significance
to
mine
design
other
production
activities.
For
this
purpose,
six
different
swarm
intelligence
optimization
(SIO)
algorithms
were
proposed
optimize
extreme
learning
machine
(ELM)
model
for
prediction,
i.e.,
ELM-based
particle
(ELM–PSO),
fruit
fly
(ELM–FOA),
whale
algorithm
(ELM–WOA),
lion
(ELM–LOA),
seagull
(ELM–SOA)
sparrow
search
(ELM–SSA).
In
total,
234
data
records
from
operations
Sungun
Iran
used
study,
including
input
parameters
(special
drilling,
spacing,
burden,
hole
length,
stemming,
powder
factor)
output
parameter
(i.e.,
BB).
To
evaluate
predictive
performance
models
initial
models,
indicators
root
mean
square
error
(RMSE),
Pearson
correlation
coefficient
(R),
determination
(R
2
),
variance
accounted
(VAF),
absolute
(MAE)
sum
(SSE)
training
testing
phases.
The
results
show
that
ELM–LSO
was
best
predict
with
RMSE
0.1129
(
R
:
0.9991,
0.9981,
VAF:
99.8135%,
MAE:
0.0706
SSE:
2.0917)
phase
0.2441
0.9949,
0.9891,
98.9806%,
0.1669
4.1710).
Hence,
ELM
techniques
combined
SIO
are
an
effective
method
BB.
Journal of Rock Mechanics and Geotechnical Engineering,
Journal Year:
2023,
Volume and Issue:
15(10), P. 2508 - 2520
Published: March 30, 2023
Rock
strength
is
a
crucial
factor
to
consider
when
designing
and
constructing
underground
projects.
This
study
utilizes
gene
expression
programming
(GEP)
algorithm-based
model
predict
the
true
triaxial
of
rocks,
taking
into
account
influence
rock
genesis
on
their
mechanical
behavior
during
building
process.
A
criterion
based
GEP
for
igneous,
metamorphic
magmatic
rocks
was
obtained
by
training
using
collected
data.
Compared
modified
Weibols-Cook
criterion,
Mohr-Coulomb
Lade
exhibits
superior
prediction
accuracy
performance.
The
has
better
performance
in
R2,
RMSE
MAPE
data
set
used
this
study.
Furthermore,
shows
greater
stability
predicting
across
different
types.
existing
genetic
(GP)
model,
proposed
achieves
more
accurate
predictions
variation
(σ1)
with
intermediate
principal
stress
(σ2).
Finally,
Sobol
sensitivity
analysis
technique,
effects
parameters
three
criteria
are
analysed.
In
general,
terms
both
results.
