免疫网络理论在风险评估中的应用研究

2008 ISECS International Colloquium on Computing, Communication, Control, and Management Pub Date : 2008-08-03 DOI:10.1109/CCCM.2008.324

Cai Shuqin, Wang Ge, Cai Hong

{"title":"免疫网络理论在风险评估中的应用研究","authors":"Cai Shuqin, Wang Ge, Cai Hong","doi":"10.1109/CCCM.2008.324","DOIUrl":null,"url":null,"abstract":"As new field of computer intelligence research, artificial immune system inspired by biological immune system, provides a strong paradigm for information processing and problem solving. Artificial immune network theory is an important theory of AIS and has already wildly applied in the fields of data clustering, data analysis and robot control. This research proposes firstly to apply artificial immune network theory into risk assessment of managerial field, provides specific model construction process relating to case study and testifies the result with data from real test.","PeriodicalId":326534,"journal":{"name":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on the Application of Immune Network Theory in Risk Assessment\",\"authors\":\"Cai Shuqin, Wang Ge, Cai Hong\",\"doi\":\"10.1109/CCCM.2008.324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As new field of computer intelligence research, artificial immune system inspired by biological immune system, provides a strong paradigm for information processing and problem solving. Artificial immune network theory is an important theory of AIS and has already wildly applied in the fields of data clustering, data analysis and robot control. This research proposes firstly to apply artificial immune network theory into risk assessment of managerial field, provides specific model construction process relating to case study and testifies the result with data from real test.\",\"PeriodicalId\":326534,\"journal\":{\"name\":\"2008 ISECS International Colloquium on Computing, Communication, Control, and Management\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 ISECS International Colloquium on Computing, Communication, Control, and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCCM.2008.324\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 ISECS International Colloquium on Computing, Communication, Control, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCCM.2008.324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

人工免疫系统作为计算机智能研究的新领域，在生物免疫系统的启发下，为信息处理和问题解决提供了强有力的范式。人工免疫网络理论是AIS的一个重要理论，在数据聚类、数据分析和机器人控制等领域已经得到了广泛的应用。本研究首次提出将人工免疫网络理论应用于管理领域的风险评估，给出了与案例研究相关的具体模型构建过程，并用实际试验数据对结果进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research on the Application of Immune Network Theory in Risk Assessment

As new field of computer intelligence research, artificial immune system inspired by biological immune system, provides a strong paradigm for information processing and problem solving. Artificial immune network theory is an important theory of AIS and has already wildly applied in the fields of data clustering, data analysis and robot control. This research proposes firstly to apply artificial immune network theory into risk assessment of managerial field, provides specific model construction process relating to case study and testifies the result with data from real test.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2008 ISECS International Colloquium on Computing, Communication, Control, and Management

自引率

0.00%

发文量