Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Relational databases and knowledge bases
Relational databases and knowledge bases
The psychology of proof: deductive reasoning in human thinking
The psychology of proof: deductive reasoning in human thinking
Diagnosis based on explicit means-end models
Artificial Intelligence
A temporal neural network model for constructing connectionist expert system knowledge bases
Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
Neural networks in generalizing expert knowledge
Computers and Industrial Engineering
Hybrid accident simulation methodology using artificial neural networks for nuclear power plants
Information Sciences—Informatics and Computer Science: An International Journal
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A knowledge representation model for the nuclear power field is proposed. The model is a generalized production rule function inspired by a neural network approach that enables the representation of physical systems of nuclear power plants. The article discusses some techniques currently used for knowledge representation of physical systems and argues that the proposed approach overcomes some aspects of the deficiencies that exist in these other techniques. An application to the Containment Spray System of the Comanche Peak Steam Electric Station is provided. The algorithm developed worked accurately, managed to handle multiple fault scenarios and gave correct and useful information. Also, none of the other knowledge representation techniques discussed seems to be capable of providing the level of detail and the advantages of the method proposed.