China Classical Poetry Art Song Market Trend Forecast and Big Data Analysis in Music Industry
Keke Chen,
No information about this author
Baowen Yang,
No information about this author
Liang Chen
No information about this author
et al.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
In
view
of
the
fact
that
Chinese
classical
poetry
and
art
songs
are
more
widely
welcomed
in
people’s
entertainment
lives,
article
conducts
research
on
its
market
development
trend.
The
PSO-Prophet-LSTM
combined
prediction
model
is
constructed
by
combining
Prophet
LSTM
neural
network
optimizing
with
PSO
algorithm.
model’s
performance
was
tested
this
paper
it
used
to
predict
music
industry
songs.
achieved
best
results
terms
comparison
adaptation,
LOSS,
RMSE
convergence
curves
accuracy.
next
five
years,
total
output
value
expanded
from
RMB
465
billion
2024
986
2028.
capital
preservation
rate,
profit
tax
rate
value,
all
keep
growing
over
years.
size
songs,
segment
expands
overall
industry.
Language: Английский
A Strategic Study on Quality Improvement of Physical Education Teaching Empowered by Digital Intelligence Technology
Lingling Wei
No information about this author
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
The
development
of
digital
intelligence
technology
has
created
a
brand
new
path
for
the
improvement
physical
education
teaching
quality.
Aiming
at
deficiencies
current
quality,
study
introduces
to
design
strategy
quality
and
establishes
evaluation
model
based
on
PSO-BPNN
algorithm
quantify
effect
empowered
by
technology.
Five
courses,
including
basketball
soccer,
taken
university
in
2022-2023
are
evaluated
as
objects
assess
after
empowerment
results
show
that
error
between
actual
output
expected
is
within
ideal
range.
And
grades
five
courses
reached
good
above,
among
which
soccer
table
tennis
achieved
excellent
grades.
It
indicates
can
effectively
impact
application
At
same
time,
it
shows
method
significantly
improve
teaching.
Language: Английский