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Volumn 60, Issue 3-5, 2002, Pages 233-244

Nuclear reactor monitoring with the combination of neural network and expert system

Author keywords

Expert system; Neural network; Nuclear power plant; Online monitoring; Plant diagnosis

Indexed keywords

DATA ACQUISITION; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS; NUCLEAR POWER PLANTS; PRESSURIZED WATER REACTORS; REAL TIME SYSTEMS;

EID: 0037201141     PISSN: 03784754     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-4754(02)00018-6     Document Type: Article
Times cited : (24)

References (5)
  • 1
    • 0025832143 scopus 로고
    • Potential application of neural networks to the operation of nuclear power plants
    • Uhrig R.E. Potential application of neural networks to the operation of nuclear power plants Nucl. Safety 32 1 1991 68-79.
    • (1991) Nucl. Safety , vol.32 , Issue.1 , pp. 68-79
    • Uhrig, R.E.1
  • 2
    • 0026817991 scopus 로고
    • Application of neural networks for sensor validation and plant monitoring
    • Upadhyaya B.R., Eryurek E. Application of neural networks for sensor validation and plant monitoring Nucl. Tech. 97 1992 170-176.
    • (1992) Nucl. Tech. , vol.97 , pp. 170-176
    • Upadhyaya, B.R.1    Eryurek, E.2
  • 3
    • 0000646059 scopus 로고
    • Learning internal representation by error propagation
    • MIT Press, Cambridge, MA
    • Rumelhart, et al., Learning Internal Representation by Error Propagation. Parallel Distributed Processing, Vol. 1, MIT Press, Cambridge, MA, 1986, pp. 318-362.
    • (1986) Parallel Distributed Processing , vol.1 , pp. 318-362
    • Rumelhart, D.E.1
  • 5
    • 0010583203 scopus 로고    scopus 로고
    • Nuclear power plant monitoring with recurrent neural network
    • Nabeshima K.et al. Nuclear power plant monitoring with recurrent neural network Knowledge-Based Intel. Eng. Syst. 4 4 2000 208-212.
    • (2000) Knowledge-Based Intel. Eng. Syst. , vol.4 , Issue.4 , pp. 208-212
    • Nabeshima, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.