Modelling on-off virtual lambda sensors based on multi-spread probabilistic neural networks
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[1] Vladimir Vapnik,et al. An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.
[2] M. D. Checkel,et al. Computerized knock detection from engine pressure records , 1986 .
[3] Chen-Fang Chang,et al. Cylinder-Pressure-Based Engine Control Using Pressure-Ratio-Management and Low-Cost Non-Intrusive Cylinder Pressure Sensors , 2000 .
[4] P. A. Howson,et al. Air-Fuel Ratio Measurement in an Internal Combustion Engine using a Neural Network , 1998 .
[5] F. Taglialatela,et al. Air/Fuel Control System in SI Engines based on Virtual Lambda Sensor , 2005 .
[6] Simon Walters,et al. Multi-computer neural network architecture , 1999 .
[7] Paolo Amato,et al. Realization of a virtual lambda sensor on a fixed precision system , 2005, Design, Automation and Test in Europe.
[8] Kwang Min Chun,et al. Measurement and Analysis of Knock in a SI Engine Using the Cylinder Pressure and Block Vibration Signals , 1994 .
[9] Christopher M. Atkinson,et al. Virtual Sensing: A Neural Network-based Intelligent Performance and Emissions Prediction System for On-Board Diagnostics and Engine Control , 1998 .
[10] Robert J. Howlett,et al. Neural Network Techniques for Monitoring and Control of Internal Combustion Engines , 1999 .
[11] Paolo Amato,et al. Modelling the Rate of Heat Release in Common Rail Diesel Engines: a Soft Computing Approach , 2004 .
[12] Peter Craven,et al. Smoothing noisy data with spline functions , 1978 .
[13] Robert J. Howlett,et al. Monitoring internal combustion engines by neural network based virtual sensing , 2000 .
[14] J. D. Powell,et al. Radial basis function approximations to polynomials , 1989 .