The average risk recognition result using different optimisation methods.

The average risk recognition result using different optimisation methods.

<p>The average risk recognition result using different optimisation methods.</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Jiaqing Huang (5018492) (author)
مؤلفون آخرون: Yang Liu (4829) (author), Miaomiao Tu (21680842) (author), Osama Sohaib (21680845) (author)
منشور في: 2025
الموضوعات:
Biotechnology
Cancer
Science Policy
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
three public datasets
particle swarm optimization
outperforming traditional methods
metaheuristics like pso
low risk levels
international trade settlement
global optimization capability
become increasingly critical
simulated algorithm ).
model &# 8217
improve predictive performance
fnn )&# 8212
average classification accuracy
genetic algorithm
evolutionary model
study proposes
results show
reliable approach
related risks
practical value
membership functions
logistic regression
lending club
german credit
genetic algorithms
fuzzy logic
fnn achieves
findings demonstrate
approximately 90
across high
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