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SAE technical paper series, Volume 912791.
A neural network model based on reinforcement learning is investigated for use as a shipboard autonomous channel navigator. The model used consists of two... 
Computer simulation | Neural networks
eJournal
SAE technical paper series, Volume 2004-01-2108.
According to the nonlinear and parameter time-varying characteristics of vehicle lateral dynamics, a novel algorithm of vehicle lateral adaptive PID control... 
Neural networks | Crash research
eJournal
SAE technical paper series, Volume 2012-01-0529.
Typical automotive body structures use resistance spot welding for most joining purposes. New materials, such as Advanced High Strength Steels (AHSS) are... 
Welding | Neural networks
eJournal
SAE technical paper series, Volume 2007-01-1080.
West Virginia University has conducted research to characterize the emissions from medium-duty vehicles operating on Fischer-Tropsch synthetic gas-to-liquid... 
Neural networks | Emissions
eJournal
SAE technical paper series, Volume 975612.
In this report, the neural identification problem is outlined and the identifiability question for a general class of recurrent neural networks is addressed.... 
Neural networks | Aircraft operations
eJournal
SAE technical paper series, Volume 981405.
Nitrogen compounds present in mineral base oils at low concentrations are known to accelerate oil oxidation and to reduce the useful lifetime of formulated... 
Lubricants | Neural networks
eJournal
SAE technical paper series, Volume 985509.
This paper critically evaluates the use of Neural Networks (NNs) as metamodels for design applications. The specifics of implementing a NN approach are... 
Design processes | Neural networks
eJournal
SAE technical paper series, Volume 2002-01-3228.
In spacecraft energy power system (EPS), the objective of fault protection is to detect and respond to spacecraft faults. Its purpose is to eliminate single... 
Neural networks | Engines
eJournal
SAE technical paper series, Volume 2013-01-0488.
Shift schedule determines the gear-shift timing of stepped automatic transmissions that directly affects the power performance, fuel economy, and emission of... 
Neural networks | Automatic transmissions
eJournal
SAE technical paper series, Volume 981208.
Vibration monitoring consists of the analysis of vibration data coming from vital components of the plant to detect features that reflect the operational state... 
Neural networks | Bearings
eJournal
SAE technical paper series, Volume 941067.
A review of artificial neural network (ANN) technique is presented. An application of a neural network in an embedded real-time feed-forward control system is... 
Neural networks | Embedded software
eJournal
SAE technical paper series, Volume 970413.
The environmental effects of a car can be significantly improved by the development of material cycles and environmental design principles. This is illustrated... 
Neural networks | Recycling
eJournal
SAE technical paper series, Volume 2009-01-2796.
This work describes the application of Non-Linear Autoregressive Models with Exogenous Inputs (NLARX) in order to predict the NOx emissions of heavy-duty... 
Neural networks | Nitrogen oxides
eJournal
SAE technical paper series, Volume 2003-01-2915.
This paper presents a novel approach for active, on-line suppression of chatter in machining operations. The presence of chatter limits the material removal... 
Neural networks | Machining processes
eJournal
SAE technical paper series, Volume 980203.
Over the years numerous researchers have suggested that the ionization current signal carries within it combustion relevant information. The possibility of... 
Powertrains | Neural networks
eJournal
SAE technical paper series, Volume 942373.
The use of modal analysis and neural networks is proposed to detect damages in parts and structures. Comparing the natural frequencies of a test structure with... 
Neural networks | Parts
eJournal
SAE technical paper series, Volume 2009-01-0860.
In racetrack conditions, brake systems are subjected to extreme energy loads and energy load distributions. This can lead to very high friction surface... 
Neural networks | Braking systems
eJournal
SAE technical paper series, Volume 941000.
This paper describes the development of an efficient automated parking support system for passenger cars. By using recent advances in the Artificial Neural... 
Mathematical analysis | Neural networks
eJournal
SAE technical paper series, Volume 2013-01-0488.
Shift schedule determines the gear-shift timing of stepped automatic transmissions that directly affects the power performance, fuel economy, and emission of... 
Neural networks | Automatic transmissions
eJournal
SAE technical paper series, Volume 942168.
Traditionally, ball bearing condition monitoring is done by a human expert whose judgement is based on bearing vibration and temperature. In this paper, a... 
Neural networks | Bearings
eJournal
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