Financial early warning of non-life insurance company based on RBF neural network optimized by genetic algorithm

Author:

Yan Chun1,Wang Lin1,Liu Wei23ORCID,Qi Man4

Affiliation:

1. College of Mathematics and System Sciences; Shandong University of Science and Technology; Qingdao 266590 China

2. Shandong Province Key Laboratory of Wisdom Mine Information Technology; Shandong University of Science and Technology; Qingdao 266590 China

3. College of Computer Science and Engineering; Shandong University of Science and Technology; Qingdao 266590 China

4. Computing, Digital Forensics and Cybersecurity; Canterbury Christ Church University; Canterbury Kent CT1 1QU UK

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference12 articles.

1. Study of fuzzy association rules and cross-selling toward property insurance customers based on FARMA;Yan;J Intell Fuzzy Syst,2016

2. A principle component analysis-based random forest with the potential nearest neighbor method for automobile insurance fraud identification;Li;Appl Soft Comput,2017

3. Early warning model with statistical analysis procedures in Turkish insurance companies;Gulsun;Afr J Bus Manag,2010

4. The distributions of the time to reach a given level and the duration of negative surplus in the Erlang (2) risk model;Dickson;Insur Math Econ,2013

5. Research on financial distress prediction based on CFaR model and logistic regression;Xie;Theory Pract Finance Econ,2014

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