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Volumn , Issue , 2003, Pages

Optimization of diesel engine operating parameters using neural networks

Author keywords

[No Author keywords available]

Indexed keywords

DIESEL ENGINES; FUEL PURIFICATION; GENETIC ALGORITHMS; HEAT FLUX; POWERTRAINS;

EID: 85072443189     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/2003-01-3228     Document Type: Conference Paper
Times cited : (30)

References (15)
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  • 2
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    • Optimization of Heavy-Duty Diesel Engine Operating Parameters Using a Response Surface Method
    • Montgomery, D.T., and Reitz, R.D., "Optimization of Heavy-Duty Diesel Engine Operating Parameters Using a Response Surface Method" SAE Paper 2000-01-1962, 2000
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  • 3
    • 85072473326 scopus 로고    scopus 로고
    • Simultaneous Reduction of Engine Emissions and Fuel Consumption Using Genetic Algorithms and Multi-Dimensional Spray and Combustion Modeling
    • Senecal, P.K., and Reitz, R.D., "Simultaneous Reduction of Engine Emissions and Fuel Consumption Using Genetic Algorithms and Multi-Dimensional Spray and Combustion Modeling" SAE Paper 2000-01-1890, 2000
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    • Senecal, P.K.1    Reitz, R.D.2
  • 5
    • 85072500944 scopus 로고    scopus 로고
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    • Desantes, J.M, Lopez J.J., Garcia, J.M., and Hernandez, L., "Application of Neural Networks for Prediction and Optimization of Exhaust Emissions in a H.H. Diesel Engine" SAE Paper 2002-01-1144, 2002
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    • (2002) SAE Paper 2002-01-2772
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  • 11
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    • On the use of non-stationary penalty functions to solve constrained optimization problems with genetic algorithms
    • Orlando, FL
    • Joines, J., and Houck, C., "On the use of non-stationary penalty functions to solve constrained optimization problems with genetic algorithms" 1994 IEEE International Symposium of Evolutionary Computation, Orlando, FL, pp. 579-584, 1994
    • (1994) 1994 IEEE International Symposium of Evolutionary Computation , pp. 579-584
    • Joines, J.1    Houck, C.2
  • 12
    • 84957531174 scopus 로고
    • Micro-Genetic Algorithms for Stationary and Non-Stationary Function Optimization
    • Intelligent control and adaptive systems
    • Krishnakumar, K., "Micro-Genetic Algorithms for Stationary and Non-Stationary Function Optimization" SPIE 1196, Intelligent control and adaptive systems, 1989
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  • 13
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    • Training Feedforward Networks with the Marquardt Algorithm
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.