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基于神经网络的内燃机排放预测方法的研究
Prediction of Emissions from Internal Combustion Engine Using a Neural Network
【摘要】 抛开数学建模的模式 ,尝试把神经网络方法引入内燃机的排放性能预测。该方法的预测精度不依赖于研究对象的数学模型 ,不需要复杂的数学演算 ,方法简便。以进气成分变化对柴油机排放性能的影响为例进行了探索 ,经过试验验证 ,证明了该方法的可行性。
【Abstract】 We show that a neural network predication method can be used in predicting engine behavior.Using date from a series of characteristic experiments,this method eliminates the need from complicated mathematical calculations used in predication models.To test this method exhaust emissions and engine performance date from intake gas composition variation experiments were taken and compared with the predicted date from this network.The method has been tested and found effective in predicting engine exhaust emissions and engine performance.
【关键词】 神经网络;
内燃机;
排放;
预测;
【Key words】 Neural network; Internal combustion engine; Emission; Prediction;
【Key words】 Neural network; Internal combustion engine; Emission; Prediction;
【基金】 国家留学基金管理委员会资助项目
- 【文献出处】 内燃机学报 ,Transactions of Csice , 编辑部邮箱 ,2001年04期
- 【分类号】TK401;TP183
- 【被引频次】23
- 【下载频次】251