The framework for the proposed model and GA-FNN.

<div><p>Accurate risk assessment in international trade settlement has become increasingly critical as global financial transactions grow in scale and complexity. This study proposes a hybrid model—Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)—to enhance bank risk identificat...

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Bibliographic Details
Main Author:	Jiaqing Huang (5018492) (author)
Other Authors:	Yang Liu (4829) (author), Miaomiao Tu (21680842) (author), Osama Sohaib (21680845) (author)
Published:	2025
Subjects:	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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The framework for the proposed model and GA-FNN.

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