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The parameters set in the experiment under two models.

The parameters set in the experiment under two models.

<p>The parameters set in the experiment under two models.</p>

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Bibliographic Details
Main Author: Xiying Wang (4859998) (author)
Published: 2025
Subjects:
Medicine
Ecology
Science Policy
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
sup >&# 8722
hidden layer increases
global search ability
complex environmental factors
comparative experiments compare
bp neural network
68 × 10
66 × 10
53 × 10
38 × 10
predict irrigation flow
mean squared error
research outcomes contribute
irrigation flow prediction
absolute relative error
div >< p
4 </ sup
bpnn model exhibits
bpnn model achieves
model prediction accuracy
bpnn using single
relative error
flow prediction
prediction accuracy
bpnn model
research topic
model ’
model performance
traditional bpnn
standalone bpnn
bpnn principles
work explores
smart agriculture
sample dependency
revealing issues
results reveal
reliable basis
positive impact
local optimization
local optima
initial values
genetic algorithm
decreasing trend
artificial intelligence
agricultural fields
11 reduction
09 %.
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