Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine

Journal of Zhejiang University: Science

Volumn 4, Issue 2, 2003, Pages 170-174

  Yan, Zhao Da ^a   Zhou, Chong Guang ^a   Su, Shi Chuan ^a   Liu, Zhen Tao ^a   Wang, Xi Zhen ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Dual fuel engine; Forward neural network; Rate of combustion

Indexed keywords

AUTOMOBILES; COMBUSTION; FEEDFORWARD NEURAL NETWORKS; NATURAL GAS;

COMBUSTION PROCESS; COMBUSTION RATE; ENERGY CONSUMPTION; GAS DIESEL DUAL FUEL ENGINE;

DUAL FUEL ENGINES;

FOSSIL FUEL; GASOLINE;

AIR POLLUTANT; AIR POLLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL MODEL; COMPARATIVE STUDY; COMPUTER SIMULATION; ENERGY RESOURCE; ENERGY TRANSFER; EVALUATION; EXHAUST GAS; HEAT; MOTOR VEHICLE; OXIDATION REDUCTION REACTION; POWER SUPPLY; QUALITY CONTROL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THEORETICAL MODEL; THERMODYNAMICS; VALIDATION STUDY;

AIR POLLUTANTS; AIR POLLUTION; COMPUTER SIMULATION; ELECTRIC POWER SUPPLIES; ENERGY TRANSFER; ENERGY-GENERATING RESOURCES; FOSSIL FUELS; GASOLINE; HEAT; MODELS, CHEMICAL; MODELS, THEORETICAL; MOTOR VEHICLES; NEURAL NETWORKS (COMPUTER); OXIDATION-REDUCTION; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; THERMODYNAMICS; VEHICLE EMISSIONS;

EID: 0038823928     PISSN: 10093095     EISSN: None     Source Type: Journal    
DOI: 10.1631/jzus.2003.0170     Document Type: Article

References (12)

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