[1]ZHAO Keqin,ZHAO Senfeng.Bayes probability transition to Zhao Senfeng-Keqin probability and its application[J].CAAI Transactions on Intelligent Systems,2015,10(1):51-61.[doi:10.3969/j.issn.1673-4785.201405022]
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Bayes probability transition to Zhao Senfeng-Keqin probability and its application

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 10 Number of periods: 2015 1 Page number: 51-61 Column: 学术论文—人工智能基础 Public date: 2015-03-25
Title:
Bayes probability transition to Zhao Senfeng-Keqin probability and its application
Author(s):
ZHAO Keqin1; 2;  ZHAO Senfeng3
1. Center for Non-traditional Security and Peaceful Development Studies, Zhejiang University, Hangzhou 310058, China;
2. Zhuji Institute of Connection Mathematics, Zhuji 311811;
3. School of zhi jiang, Zhejiang Technology University, Hangzhou, 310024, China
Keywords:
Bayes probability; Zhao Senfeng-Keqin probability; connection number; posterior values; wisdom brain thinking characteristics; set pair analysis
CLC:
-
DOI:
10.3969/j.issn.1673-4785.201405022
Abstract:
In order to study the Bayesian probability and posterior Bayesian inference relation and transformation as well as the number of contact probability after,The definition of Zhao Senfeng-Keqin probability of Bayes probability model,Zhao Senfeng-Keqin probability of its mathematical form equivalent to classical subscheme, geometric probability, frequency probability model,With the help of Zhao Senfeng-Keqin probability random converter I effect,The Bayesian posterior probability for gain, attenuation, maintenance,Based on this Bayesian probability transformation theorem and the corresponding algorithm to Zhao Senfeng-Keqin probability,To illustrate the characteristics of Bayesian probability model Zhao Senfeng Keqin probability with zhinao thinking integrity, foresight and flexibility etc,open up a new way for the application of artificial intelligence and other areas of Bayesian reasoning.
References:
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