The data clustering based dynamic risk identification of biological immune system: mechanism, method and simulation

2018 ◽  
Vol 22 (S3) ◽  
pp. 6253-6266 ◽  
Author(s):  
Yang Bo
Keyword(s):  
Immune System ◽  
Data Clustering ◽  
Risk Identification ◽  
Dynamic Risk ◽  
Biological Immune System ◽  
System Mechanism

Application of Immune Genetic Algorithm in Survey Data Processing

2012 ◽  
Vol 241-244 ◽  
pp. 1737-1740
Author(s):  
Wei Chen
Keyword(s):  
Genetic Algorithm ◽  
Immune System ◽  
Data Processing ◽  
Survey Data ◽  
Heuristic Algorithm ◽  
Experimental Results ◽  
Immune Genetic Algorithm ◽  
Basic Principles ◽  
Immune Operator ◽  
Biological Immune System

The immune genetic algorithm is a kind of heuristic algorithm which simulates the biological immune system and introduces the genetic operator to its immune operator. Conquering the inherent defects of genetic algorithm that the convergence direction can not be easily controlled so as to result in the prematureness；it is characterized by a better global search and memory ability. The basic principles and solving steps of the immune genetic algorithm are briefly introduced in this paper. The immune genetic algorithm is applied to the survey data processing and experimental results show that this method can be practicably and effectively applied to the survey data processing.

Sick Body, Vigilant Mind

2011 ◽  
Vol 22 (12) ◽  
pp. 1467-1471 ◽  
Author(s):  
Saul L. Miller ◽  
Jon K. Maner
Keyword(s):  
Immune System ◽  
Behavioral Immune System ◽  
Psychological Mechanisms ◽  
Interactive Nature ◽  
Biological Immune System ◽  
Recent Illness ◽  
Shed Light

Activation of the behavioral immune system has been shown to promote activation of the biological immune system. The current research tested the hypothesis that activation of the biological immune system (as a result of recent illness) promotes activation of the behavioral immune system. Participants who had recently been ill, and had therefore recently experienced activation of their biological immune system, displayed heightened attention to (Study 1) and avoidance of (Study 2) disfigured individuals—cognitive and behavioral processes reflecting activation of the behavioral immune system. These findings shed light on the interactive nature of biological and psychological mechanisms designed to help people overcome the threat of disease.

scholarly journals TWO-CLASSIFICATION ARTIFICIAL IMMUNE SYSTEM

2017 ◽  
Vol 20 (7) ◽  
pp. 207-220
Author(s):  
M.E. Burlakov
Keyword(s):  
Immune System ◽  
Electronic Mail ◽  
Artificial Immune System ◽  
Practical Aspect ◽  
Artificial Immune ◽  
Closed Systems ◽  
Document Flow ◽  
Biological Immune System ◽  
Comparison Of Effectiveness

In the article the practical aspect of application of principles of biological immune system for solving the problem of analysis and classification of email is viewed. In the capacity of analyzed emails ordinary emails (electronic mail) and mails from closed systems (electronic document flow or business management systems) were taken. In the article two-classification artificial immune system was developed with further comparison of effectiveness of their usage with naive Bayesian classification algorithm. Practical realization of the developed system with the application in the system of analysis of emails of the commercial structure is carried out.

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