The paper introduces the ant colony-BP (back propagation) neural network model as a potential remedy for the limitations observed in conventional BP neural ...

Feb 13, 2024 · This work presents a neuro-genetic control scheme for a R 3 workspace application. The solution is based on a Multi Objective Genetic Algorithm ...

Credit default prediction based on genetic algorithm improved neural network. JIANG ZHUO 1. ,. Su Jie 1. ,. Zhou Ling 2. Show full list: 3 authors.

Jun 24, 2024 · The results indicate a prediction accuracy of 0.92 for default risk and 0.86 for credit rating.

Apr 23, 2024 · Research on credit card default prediction based on k-means SMOTE and BP neural network. Complexity. 2021:2021. [Google Scholar]. 2. Abdou ...

[29] developed a predictive model combining Deep Learning Artificial Neural Network and a. GA block to extract rules and plays the role of a filter ...

Mar 6, 2024 · The goal of this work is to combine different technologies and frameworks into an effective ML workflow to address the task of credit default ...

Several studies have demonstrated that neural networks, a machine learning technique, perform better in prediction accuracy and error than conventional ...

Mar 10, 2022 · After the training, credit risk can be effectively predicted. This paper compares and analyzes the prediction results of neural network ...

Many studies have begun applying artificial intelligence models, such as neural network modeling and genetic algorithms, for credit default prediction, ...