Application of RBF neural network optimal segmentation algorithm in credit rating

Credit rating is an important part of bank credit risk management. Since the traditional radial basis function network model is more susceptible to outliers and cannot effectively process the classification data, it is very sensitive in terms of the initial center and class width of the selected mod...

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Vydané v:	Neural computing & applications Ročník 33; číslo 14; s. 8227 - 8235
Hlavní autori:	Li, Xuetao, Sun, Yi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.07.2021 Springer Nature B.V
Predmet:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Credit ratings Data Mining and Knowledge Discovery Image Processing and Computer Vision Neural networks Outliers (statistics) Probability and Statistics in Computer Science Radial basis function Risk management Robustness (mathematics) S. I : Intelligent Computing Methodologies in Machine learning for IoT Applications Segmentation Special Issue on Intelligent Computing Methodologies in Machine learning for IoT Applications Classification data Credit grading Radial basis function neural network Optimal segmentation method
ISSN:	0941-0643, 1433-3058
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