Construction and Functions of Self-Study System for Power Plant Operation

2000 ◽  
Author(s):  
Shengli Tang ◽  
Zuwei He ◽  
Tao Chang ◽  
Liming Xuan
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Expert System ◽  
Power Plant ◽  
Knowledge Base ◽  
Practical Experience ◽  
Plant Operation ◽  
Self Study ◽  
Power Plant Operation ◽  
Artificial Neural

Abstract In this paper, the Construction and functions of the self-study system for power plant operation is introduced. As a self-study system, it consists of two parts, a simulator and knowledge base. The knowledge base has been built by the combination of expert system and artificial neural network, which supports the system with practical experience and theoretic knowledge. The trainees’ knowledge can be improved by using the system. The realization of the intelligent training function, applications of expert system and artificial neural network are mainly introduced in this paper.

Electroencephalographic staging of hepatic encephalopathy by an artificial neural network and an expert system

2005 ◽  
Vol 35 (5-6) ◽  
pp. 162-167 ◽  
Author(s):  
A. Pellegrini ◽  
E. Ubiali ◽  
R. Orsato ◽  
S. Schiff ◽  
A. Gatta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Hepatic Encephalopathy ◽  
Expert System ◽  
Artificial Neural

scholarly journals Analyses of the method development of decisions in an expert system with the use of information from an artificial neural network

2018 ◽  
Vol 178 ◽  
pp. 07002 ◽  
Author(s):  
Stanisław Duer ◽  
Konrad Zajkowski ◽  
Serghei Scaticailov ◽  
Paweł Wrzesień
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Expert System ◽  
Intelligent Systems ◽  
Method Development ◽  
Diagnostic System ◽  
Intelligence System ◽  
Intelligent Maintenance ◽  
The Neural Network ◽  
Artificial Neural

The present article covers the use of an artificial intelligence system in the organization of the prevention of technical objects. For this purpose, the composition of this system including an intelligent diagnostic system and an intelligent maintenance system was characterized and described. An artificial neural network and an expert system, which work among others on the basis of the information developed by the neural network, perform a special function in these systems. It was mentioned in the article that the mathematical model of the regeneration process of the functional properties (prevention) of an object forms the basis of the organization of the prevention activities of technical devices and objects with the use of intelligent systems. This model demonstrated the possibilities and directions for the use of maintenance intelligent systems.

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