【柴油组分对车用柴油机排放特性的影响及模糊集-神经网络分析方法研究】邓元望.pdf
ADissertationSubmitted toAcademicDegree EvaluationCommitteeof HuazhongUniversityofScience and Technologyfor the Degree of Doctor of Philosophy in Engineering A MethodResearchforEffect of Fuel Compositions on EmissionPerformance ofVehicleDiesel Engine withFuzzySets-NeuralNetwork Candidate:Deng Yuanwa
华中科技大学博士学位论文 十六烷值和馏程与发动机排放物HC、CO、NO和PM之间关系的模糊线性回归模型,研究了模糊线性回归系数的求解方法,分析了隶属度及附加约束条件对模糊回归系数 的影响,并利用得到的模糊线性回归方程对发动机的排放物HC、CO、NO和PM进 行了拟合和预测,得到了比较满意的结果。
华中科技大学博士学位论文 Number of the hidden layers, number of the hidden neurons, activation functions, goal errors along with the initial weights and biases of the networks are optimized.HC,CO,NOx and PM are simulated and predicted with the models, and the effects of the cetane improvers andnitrogen contents