Introducing an expert system for prediction of soccer player ranking using ensemble learning

2019 ◽  
Vol 31 (12) ◽  
pp. 9157-9174 ◽  
Author(s):  
Reza Maanijou ◽  
Seyed Abolghasem Mirroshandel
Keyword(s):  
Expert System ◽  
Ensemble Learning ◽  
Soccer Player ◽  
Player Ranking

Network switching and voltage evaluation using an expert system in ac railway systems

1992 ◽  
Vol 139 (1) ◽  
pp. 1 ◽  
Author(s):  
C.S. Chang ◽  
T.T. Chan ◽  
K.K. Lee
Keyword(s):  
Expert System ◽  
Railway Systems

ESPNET: expert-system-based simulator of Petri nets

1988 ◽  
Vol 135 (4) ◽  
pp. 239 ◽  
Author(s):  
J. Duggan ◽  
J. Browne
Keyword(s):  
Expert System ◽  
Petri Nets

Diagnosing faults in a telecommunications network by an expert system

1990 ◽  
Vol 137 (5) ◽  
pp. 273 ◽  
Author(s):  
R.J. Allwood ◽  
C.N. Cooper ◽  
A. Taylor
Keyword(s):  
Expert System ◽  
Telecommunications Network

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).

A Two-Stage Approach for Flight Departure Delay Forecasting Using Ensemble Learning

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Feng Guan ◽  
Mengyan Hao ◽  
Zhen Guo
Keyword(s):  
Ensemble Learning ◽  
Two Stage
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