Closure to “Expert System for Determining Discharge Coefficients for Inclined Slide Gates Using Genetic Programming” by Farzin Salmasi and John Abraham

2021 ◽  
Vol 147 (10) ◽  
pp. 07021018
Author(s):  
Farzin Salmasi ◽  
John Abraham
Keyword(s):  
Expert System ◽  
Genetic Programming ◽  
Discharge Coefficients

PWR's xenon oscillation control through a fuzzy expert system automatically designed by means of genetic programming

2003 ◽  
Vol 3 (4) ◽  
pp. 317-323 ◽  
Author(s):  
Roberto P. Domingos ◽  
Gustavo H.F. Caldas ◽  
Cláudio M.N.A. Pereira ◽  
Roberto Schirru
Keyword(s):  
Expert System ◽  
Genetic Programming ◽  
Fuzzy Expert System ◽  
Oscillation Control ◽  
Xenon Oscillation

An expert system for FMS control

1993 ◽  
Vol 2 (4) ◽  
pp. 223 ◽  
Author(s):  
Wang Chengen ◽  
Zhu Jianying ◽  
Wei Zhongxin
Keyword(s):  
Expert System

HAZARD: An Expert System for Risk Assessment of Environmental Chemicals

1987 ◽  
Vol 26 (01) ◽  
pp. 13-23 ◽  
Author(s):  
H. W. Gottinger
Keyword(s):  
Expert System ◽  
Structural Information ◽  
Chemical Carcinogenesis ◽  
Structural Features ◽  
Environmental Chemicals ◽  
Chemical Carcinogens ◽  
Carcinogenic Activity ◽  
Current State ◽  
Structure Activity ◽  
Carcinogenic Potential

AbstractThe purpose of this paper is to report on an expert system in design that screens for potential hazards from environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analyzing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals. The structure-activity tree serves as an index of known chemical structure features associated with carcinogenic activity. The basic units of the tree are the principal recognized classes of chemical carcinogens that are subdivided into subclasses known as nodes according to specific structural features that may reflect differences in carcinogenic potential among chemicals in the class. An analysis of a computerized data base of known carcinogens (knowledge base) is proposed using the structure-activity tree in order to test the validity of the tree as a classification scheme (inference engine).

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