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SAE technical paper series, Volume 2016-01-8086.
Based on BP neural network theory, a BP-PID control algorithm with strong self-learning and self-adapting ability is designed for the diesel engine speed... 
Diesel / Compression Ignition engines | Neural networks | Engine control systems | Simulation and modeling
eJournal
SAE technical paper series, Volume 2016-01-0472.
In recent years, the interior noise of automobile has been becoming a significant problem. In order to reduce the noise, porous materials have been widely... 
Neural networks | Noise measurement | Exterior noise
eJournal
SAE technical paper series, Volume 2015-01-1353.
The flow performance of intake port significantly affects engine output power, fuel economy, and exhaust emissions in gasoline engines. Thus, optimal intake... 
Combustion and combustion processes | Neural networks | Simulation and modeling | Spark ignition engines
eJournal
SAE technical paper series, Volume 2011-01-1332.
In this paper, a mathematical model of the SCR catalytic converter is replaced with the neural network model to accelerate the optimization process. The Euro... 
Diesel / Compression Ignition engines | Neural networks | Mathematical models | Selective catalytic reduction
eJournal
Neurocomputing, ISSN 0925-2312, 10/2017, Volume 260, pp. 404 - 410
Journal Article
SAE technical paper series, Volume 2000-01-1150.
The powertrain of an automatic transmission has a wide operating range in speed, torque and temperature while driving. It is necessary to know them to achieve... 
Electronic control systems | Powertrains | Neural networks | Automatic transmissions
eJournal
SAE technical paper series, Volume 2013-24-0073.
Most of the existing energy management strategies for Extended-Range Electric Vehicles (E-REVs) are heuristic, which restricts coordination between the battery... 
Neural networks | Fuel cells | Electric vehicles
eJournal
SAE technical paper series, Volume 2013-24-0073.
Most of the existing energy management strategies for Extended-Range Electric Vehicles (E-REVs) are heuristic, which restricts coordination between the battery... 
Neural networks | Fuel cells | Electric vehicles
eJournal
Applied Energy, ISSN 0306-2619, 12/2017, Volume 208, pp. 344 - 360
Journal Article
Journal of Geophysical Research: Atmospheres, ISSN 2169-897X, 06/2016, Volume 121, Issue 11, pp. 6581 - 6599
Journal Article
Journal Article
SAE technical paper series, Volume 2016-01-0170.
Camera data generated in a 3D virtual environment has been used to train object detection and identification algorithms. 40 common US road traffic signs were... 
Neural networks | Vehicle networking | Optics | Visibility
eJournal
SAE technical paper series, Volume 2005-01-3495.
For the purposes of on-line control, e.g., in an automatic driving system, or of closed-loop directional control simulation, an optimal preview artificial... 
Electronic control systems | Steering systems | Neural networks | Parts | Vehicle handling | Mathematical models | Dampers and shock absorbers | Protective systems | Intelligent transportation systems
eJournal
Applied Mathematics and Computation, ISSN 0096-3003, 2007, Volume 185, Issue 2, pp. 1026 - 1037
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search... 
Adaptive particle swarm optimization | Feedforward neural network | BP algorithm | Particle swarm optimization algorithm | RATES | MATHEMATICS, APPLIED | feedforward neural network | adaptive particle swarm optimization | CONVERGENCE | particle swarm optimization algorithm | Neural networks | Algorithms
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 02/2015, Volume 42, Issue 2, pp. 855 - 863
Journal Article
Journal Article