An artificial neural network-based approach for virtual NOx sensing

SAE Technical Papers

Volumn , Issue , 2008, Pages

  Subramaniam, Mark N ^a   Tomazic, Dean ^a   Tatur, Marek ^a   Laermann, Martin ^a  

^a FEV Inc USA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIESEL ENGINES; EXHAUST GAS RECIRCULATION; NEURAL NETWORKS; NITROGEN OXIDES;

AFTER-TREATMENT TECHNOLOGY; LIGHT-DUTY DIESEL ENGINES; MULTI LAYER PERCEPTRON NETWORKS; OPERATING PARAMETERS; STEADY-STATE CONDITION; THERMODYNAMIC QUANTITIES; TRAINING DATA SETS; TRANSIENT OPERATION;

NETWORK LAYERS;

EID: 85072458447     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/2008-01-0753     Document Type: Conference Paper

References (8)

1. Hornik, K., Stinchcombe, M., and White Halbert, "Multilayer feedforward networks are universal approximators," Neural Networks, Vol 2, No. 5, 1989
2. Hornik, K., "Approximation capabilities of multilayer feedforward networks," Neural Networks, Vol. 4, No 2, 1989
3. Wu, B., Filipi, Z., Assanis, D., "Using Artificial Neural Networks for Representing the Air Flow Rate through a 2.4 Liter VVT Engine," SAE Technical Paper No. 2004-01-3054
4. Wu, B., Prucka, R. G., Filipi, Z. S., "Cam-phasing Optimization Using Artificial Neural Networks as Surrogate Models-Fuel Consumption and Nox Emissions," SAE Technical Paper No. 2006-01-1512
5. Manikandan, V., Suryanarayanan, S., Rao, G. L. N., Sampath, S., "Estimation of Engine Emissions Based on Physical and Chemical Properties of Biodiesels using Artificial Neural Networks," SAE Technical Paper No. 2006-01-3533
6. Brahma, I., Rutland, C. J., "Optimization of Diesel Engine Operating Parameters Using Neural Networks," SAE Technical Paper No. 2003-01-3228
7. Guerrier, M., Cawsey, P., "The Development of Model Based Methodologies for Gasoline IC Engine Calibration," SAE Technical Paper 2004-01-1466
8. Demuth, H., Beale, M., Hagan, M., "Neural Network Toolbox," User's Guide, Version 5