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Volumn 120, Issue 3, 1997, Pages 188-196

Adaptive vector quantization optimized by genetic algorithm for real-time diagnosis through fuzzy sets

Author keywords

Artificial intelligence; Human factors; Operator support systems

Indexed keywords

FUZZY SETS; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; SIMULATION;

EID: 0031365069     PISSN: 00295450     EISSN: None     Source Type: Journal    
DOI: 10.13182/nt97-a35410     Document Type: Article
Times cited : (10)

References (7)
  • 1
    • 0029323251 scopus 로고
    • Nuclear Power Plant Transient Diagnostics Using Artificial Neural Networks That Allow 'Don't-Know' Classifications
    • Y. BARTAL, J. LIN, and R. E. UHRIG, "Nuclear Power Plant Transient Diagnostics Using Artificial Neural Networks That Allow 'Don't-Know' Classifications," Nucl. Technol., 110, 436 (1995).
    • (1995) Nucl. Technol. , vol.110 , pp. 436
    • Bartal, Y.1    Lin, J.2    Uhrig, R.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.