메뉴 건너뛰기




Volumn 21, Issue 5, 2007, Pages 2627-2636

Design and optimization of neural networks to estimate the chamber pressure in internal combustion engines by an indirect method

Author keywords

[No Author keywords available]

Indexed keywords

DIESEL ENGINES; INTERNAL COMBUSTION ENGINES; OPTIMIZATION; POLYNOMIALS;

EID: 35348978289     PISSN: 08870624     EISSN: None     Source Type: Journal    
DOI: 10.1021/ef070122d     Document Type: Article
Times cited : (10)

References (32)
  • 1
    • 35348948038 scopus 로고    scopus 로고
    • SAE Paper 960039
    • Williams, J. SAE Paper 960039, 1996.
    • (1996)
    • Williams, J.1
  • 5
    • 4344672680 scopus 로고    scopus 로고
    • Kegl, B. J. Mech. Des. 2004, 126, 703-710.
    • (2004) J. Mech. Des , vol.126 , pp. 703-710
    • Kegl, B.1
  • 24
    • 35348977817 scopus 로고    scopus 로고
    • Cruz-Peragón, F. Analysis of Intelligent Optimization Techniques for Determining Cylinder Pressure in Internal Combustion Engines by Non-intrusive Methods (in Spanish). Ph.D. Thesis, University of Sevilla, Sevilla, Spain, 2005.
    • Cruz-Peragón, F. Analysis of Intelligent Optimization Techniques for Determining Cylinder Pressure in Internal Combustion Engines by Non-intrusive Methods (in Spanish). Ph.D. Thesis, University of Sevilla, Sevilla, Spain, 2005.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.