![]() |
Volumn 4, Issue 2, 2003, Pages 170-174
|
Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
a
|
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 |
Times cited : (10)
|
References (12)
|