Risk decision analysis of commercial insurance based on neural network algorithm
To improve the effect of commercial insurance risk decision, this paper applies neural network algorithms to commercial insurance risk decision under the guidance of machine learning ideas, and selects the neural network algorithm based on the actual situation. Moreover, this paper analyzes the natu...
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| Veröffentlicht in: | Neural computing & applications 2023, Vol.35 (3), p.2169-2182 |
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| container_title | Neural computing & applications |
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| creator | Wang, Shanshan Zhao, Zhenwang |
| description | To improve the effect of commercial insurance risk decision, this paper applies neural network algorithms to commercial insurance risk decision under the guidance of machine learning ideas, and selects the neural network algorithm based on the actual situation. Moreover, this paper analyzes the nature of risks of commercial insurance, analyzes the types of risks and risk relevance, constructs a commercial insurance risk decision model based on neural network algorithms, and determines the system process. In addition, this paper uses a combination method of qualitative and quantitative to identify the influencing factors of risk estimation to obtain relevant influencing factors, and verify the model proposed in this paper in combination with experimental research. From the experimental research results, it can be seen that the commercial insurance risk decision system based on neural network algorithm is very good in terms of decision effect. |
| doi_str_mv | 10.1007/s00521-022-07199-0 |
| format | Article |
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Moreover, this paper analyzes the nature of risks of commercial insurance, analyzes the types of risks and risk relevance, constructs a commercial insurance risk decision model based on neural network algorithms, and determines the system process. In addition, this paper uses a combination method of qualitative and quantitative to identify the influencing factors of risk estimation to obtain relevant influencing factors, and verify the model proposed in this paper in combination with experimental research. 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Moreover, this paper analyzes the nature of risks of commercial insurance, analyzes the types of risks and risk relevance, constructs a commercial insurance risk decision model based on neural network algorithms, and determines the system process. In addition, this paper uses a combination method of qualitative and quantitative to identify the influencing factors of risk estimation to obtain relevant influencing factors, and verify the model proposed in this paper in combination with experimental research. From the experimental research results, it can be seen that the commercial insurance risk decision system based on neural network algorithm is very good in terms of decision effect.</description><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computational Science and Engineering</subject><subject>Computer Science</subject><subject>Critical illness insurance</subject><subject>Data Mining and Knowledge Discovery</subject><subject>Decision analysis</subject><subject>Fraud</subject><subject>Globalization</subject><subject>Health insurance</subject><subject>Image Processing and Computer Vision</subject><subject>Insurance</subject><subject>Insurance companies</subject><subject>Insurance industry</subject><subject>Machine learning</subject><subject>Neural networks</subject><subject>Probability and Statistics in Computer Science</subject><subject>Risk analysis</subject><subject>S.I.: Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2021)</subject><subject>Special Issue on 2021 Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2021)</subject><issn>0941-0643</issn><issn>1433-3058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kE1LAzEQhoMoWKt_wFPA8-rka5McpfgFBUX0HNJstqbd3WiyRfrvja7gzdPAzPO-DA9C5wQuCYC8ygCCkgoorUASrSs4QDPCGasYCHWIZqB5OdecHaOTnDcAwGslZujpOeQtbrwLOcQB28F2-xwyji12se99csF2OAx5l-zgPF7Z7BtcyMGXTVfG-BnTFttuHVMY3_pTdNTaLvuz3zlHr7c3L4v7avl497C4XlaOcj1WrWDgFXVaOMacl4K2wkpNFHdKW24bYpWr24ZKzaj2rLG1ZTWTiq84eMvZHF1Mve8pfux8Hs0m7lJ5Pxsqa6Gk0LIuFJ0ol2LOybfmPYXepr0hYL7NmcmcKebMjzkDJcSmUC7wsPbpr_qf1BdyJ3FC</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Wang, Shanshan</creator><creator>Zhao, Zhenwang</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>2023</creationdate><title>Risk decision analysis of commercial insurance based on neural network algorithm</title><author>Wang, Shanshan ; 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Moreover, this paper analyzes the nature of risks of commercial insurance, analyzes the types of risks and risk relevance, constructs a commercial insurance risk decision model based on neural network algorithms, and determines the system process. In addition, this paper uses a combination method of qualitative and quantitative to identify the influencing factors of risk estimation to obtain relevant influencing factors, and verify the model proposed in this paper in combination with experimental research. From the experimental research results, it can be seen that the commercial insurance risk decision system based on neural network algorithm is very good in terms of decision effect.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00521-022-07199-0</doi><tpages>14</tpages></addata></record> |
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| subjects | Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Critical illness insurance Data Mining and Knowledge Discovery Decision analysis Fraud Globalization Health insurance Image Processing and Computer Vision Insurance Insurance companies Insurance industry Machine learning Neural networks Probability and Statistics in Computer Science Risk analysis S.I.: Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2021) Special Issue on 2021 Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2021) |
| title | Risk decision analysis of commercial insurance based on neural network algorithm |
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