Research on artificial intelligence machine translation based on BP neural algorithm
ICST Transactions on Scalable Information Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 8, 2024
The
primary
focus
of
artificial
intelligence
advancement
is
in
machine
translation;
nonetheless,
a
prevalent
issue
persists
the
form
imprecise
translation.
current
challenge
faced
by
to
effectively
executing
translation
from
extensive
datasets.
This
research
presents
BP
neural
method
that
aims
repeatedly
analyse
data
and
achieve
optimisation
findings
indicate
use
network
may
enhance
dependability
precision
translation,
with
an
accuracy
rate
over
84%.
performance
surpasses
online
approach.
Hence,
it
can
be
inferred
algorithms
has
potential
fulfil
requirements
conducted
humans.
Язык: Английский
Research on Enterprise Digital Transformation Under the All-Intelligent Network-Driven Approach
Lecture notes in electrical engineering,
Год журнала:
2024,
Номер
unknown, С. 155 - 160
Опубликована: Янв. 1, 2024
Язык: Английский
Energy System Planning and Intelligent Regulation and Optimization based on Artificial Intelligence
Shanlong Zhao,
Jinman Luo,
X. Wang
и другие.
2022 IEEE World Conference on Applied Intelligence and Computing (AIC),
Год журнала:
2023,
Номер
unknown, С. 545 - 549
Опубликована: Июль 29, 2023
Energy
is
an
important
part
of
social
progress
and
development,
but
in
today's
rapid
development
society,
the
demand
for
energy
increasing.
At
same
time,
environmental
pollution
imbalance
reduce
rationality
energy.
To
analyze
system
planning,
so
that
conservation,
emission
reduction,
efficient
utilization,
planning
design
intelligent
regulation
control
can
be
better
optimized.
Then,
smart
assessment
data
evaluated
comprehensively.
Finally,
continuous
monitoring
used
to
planning.
The
artificial
intelligence
recognition
algorithm
accurately
carry
out
analysis,
greater
than
85
%
genetic
arithmetic.
Язык: Английский
Exploration of the Methods of Artificial Intelligence Computer Processing Information
Опубликована: Март 1, 2024
With
the
rapid
development
and
practical
application
of
computer
technology,
information
processing
technology
is
particularly
important.
Ordinary
has
been
slowly
reformed
innovated
under
can
not
better
process
information.
Therefore,
this
paper
proposes
an
intelligent
for
analysis.
Industrial
intelligence
(AI)
penetrated
into
every
aspect
our
life,
especially
in
field
processing.
its
high
efficiency
intelligence,
it
changing
work
life
style.
Язык: Английский
Intelligent Identification Method of Segmented Line Loss of Low-Voltage Power Grid Based on Ant Colony Algorithm
Опубликована: Март 1, 2024
The
intelligent
identification
method
plays
a
very
important
role
in
the
of
segmented
line
loss
low-voltage
power
grid,
but
there
is
problem
that
results
are
inaccurate.
traditional
cannot
solve
and
recognition
rate
low.
In
modern
system
management,
accurate
location
losses
distribution
network
has
always
been
key
challenge
to
improve
energy
efficiency
reduce
operating
costs.
Язык: Английский
Data Mining for Heart Disease Prediction Based on Echocardiogram and Electrocardiogram Data
Jurnal Online Informatika,
Год журнала:
2023,
Номер
8(1), С. 91 - 98
Опубликована: Июнь 28, 2023
Traditional
methods
of
detecting
cardiac
illness
are
often
problematic
in
the
medical
field.
The
doctor
must
next
study
and
interpret
findings
patient's
record
received
from
electrocardiogram
echocardiogram.
These
tasks
take
a
long
time
require
patience.
use
computational
technology
medicine,
especially
disease,
is
not
new.
Scientists
continuously
striving
for
most
reliable
method
diagnosing
illness,
particularly
when
an
integrated
system
constructed.
attempted
to
propose
alternative
identifying
using
supervised
learning
technique,
namely
multi-layer
perceptron
(MLP).
started
with
collection
patient
data,
which
yielded
up
534
data
points,
followed
by
pre-processing
transformation
provide
324
points
suitable
be
employed
algorithms.
last
step
create
heart
disease
classification
model
distinct
activation
functions
MLP.
degree
accuracy,
k-fold
cross-validation,
bootstrap
all
used
test
model.
According
study,
MLP
Tanh
function
more
accurate
prediction
than
logistics
Relu.
accuracy
level
(CA)
cross-validation
0.788
data-sharing
situation,
while
it
0.672
Bootstrap.
best
based
on
CA
AUC
value,
values
0.832
(k-fold
cross-validation)
0.857
(bootstrap).
Язык: Английский
Research on the Modeling and Implementation of Key Technologies of Calisthenics Intelligent Teaching System
Опубликована: Июль 14, 2023
The
calisthenics
intelligent
teaching
system
mainly
gives
the
computer
intelligence,
provides
expert
guidance
for
learners,
and
can
replace
teachers
to
achieve
best
of
a
large
extent,
but
quality
current
is
poor.
Therefore,
this
paper
proposes
collaborative
filtering
algorithm
study
modeling
implementation
key
technologies
system.
Firstly,
described,
advantages
applied
are
analyzed.
Secondly,
combined
with
algorithm,
suitable
scheme
recommended
learners'
own
learning
needs
in
system,
effect
based
on
MATLAB
simulation
results
show
that
proposed
superior
deep
terms
satisfaction.
Язык: Английский
Analysis and Research of 5G Access Authentication Protocol of New Generation Mobile Communication Network Under AHP Algorithm
Опубликована: Июль 14, 2023
The
role
of
authentication
protocol
in
the
5G
access
new
generation
mobile
communication
network
is
very
important,
but
there
a
problem
that
content
unreasonable.
Ordinary
methods
cannot
solve
networks,
and
results
are
not
ideal.
Therefore,
this
paper
proposes
an
AHP
algorithm
for
analysis.
Firstly,
analysis
hierarchy
used
to
analyze
protocol,
indicators
divided
according
requirements
certification
reduce
interfering
factor.
Then,
analyzes
network,
forms
scheme,
corrects
Comprehensive
results.
MATLAB
simulation
shows
under
certain
evaluation
criteria,
accuracy
reasonableness
better
than
ordinary
methods.
Язык: Английский
Revolutionizing the Industrialization of Buildings with BIM and AI: Factors Influencing Adoption and Development and Building Planning
International Journal of Communication Networks and Information Security (IJCNIS),
Год журнала:
2023,
Номер
15(2), С. 126 - 142
Опубликована: Сен. 6, 2023
The
continuous
development
of
BIM
and
AI
has
made
the
analysis
building
industrialization
a
hot
spot
in
research
issue
industrial
reform
focus
computer
construction
research.
traditional
architectural
planning
method
cannot
solve
problem
under
technology,
accuracy
is
low.
Therefore,
this
paper
proposes
model
based
on
technology
to
analyze
mode
reform.
First,
are
used
data,
irrelevant
data
deleted
according
characteristics.
Then,
judgment
results
compared
with
method,
content
different
industries
deeply
excavated,
influencing
factors
higher
possibilities
output.
After
simulation
test
analysis,
can
improve
accuracy,
integrity,
rationality
planning,
an
rate
96.4%,
make
correct
choice
meet
needs
planning.
Язык: Английский
Research on English Phrase Translation based on Computer Intelligent Proofreading System
Опубликована: Дек. 29, 2023
With
the
accelerating
process
of
globalization,
English
has
become
an
important
tool
for
international
communication.
Phrase
translation
plays
role
in
learning.
It
can
help
students
better
understand
and
use
vocabulary.
However,
due
to
complexity
phrases
various
problems
process,
traditional
manual
proofreading
methods
no
longer
meet
increasing
demand.
Therefore,
it
is
great
significance
study
strategies
computer
intelligent
phrase
translation.
Язык: Английский