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Analysis of Human Pilot Control Inputs Using Neural Network
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/archopht.1952.01700030123016openalex-snapshot
Perception of the Visual World
inferredcites →https://doi.org/10.1007/978-1-4612-4782-1openalex-snapshot
Brains, Machines, and Mathematics
inferredcites →https://doi.org/10.1016/s0042-6989(99)00073-5openalex-snapshot
MT neurons in the macaque exhibited two types of bimodal direction tuning as predicted by a model for visual motion detection
inferredcites →https://doi.org/10.1109/72.105414openalex-snapshot
Maximally fault tolerant neural networks
inferredcites →https://doi.org/10.1109/72.248456openalex-snapshot
Determining and improving the fault tolerance of multilayer perceptrons in a pattern-recognition application
inferredcites →https://doi.org/10.1109/ijcnn.1993.714236openalex-snapshot
Fault-tolerant back-propagation model and its generalization ability
inferredcites →https://doi.org/10.2322/jjsass.49.21openalex-snapshot
Analysis of Human Pilot Behavior at Landing with Neural Network.
inferredcites →https://doi.org/10.2322/jjsass.49.246openalex-snapshot
Research on State Estimation of Pilot in Landing Aircraft.
inferredcites →https://doi.org/10.2322/jjsass.51.109openalex-snapshot
Analysis of Human Pilot Behavior at Landing with Neural Network. 2nd Report: Neural Network Structure Construction with GA.
inferredcites →https://doi.org/10.2514/1.30208openalex-snapshot
Analysis of Visual Cues During Landing Phase by Using Neural Network Modeling
inferredcites →https://doi.org/10.2514/6.1988-4186openalex-snapshot
Modeling human perception and estimation of kinematic responses during aircraft landing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4808150openalex-extracted
Pilot Action Prediction for Longitudinal Control Using Long Short-Term Memory Network Trained with Flight Simulator Data
inferred← citeshttps://doi.org/10.1007/978-3-319-60441-1_12openalex-snapshot
Data-Driven Pilot Behavior Modeling Applied to an Aircraft Offset Landing Task
inferred← citeshttps://doi.org/10.1007/978-3-642-35211-9_35openalex-snapshot
Visual Scene Simulation to Civil Aviation Aircraft Approaching and Landing Using Dual Fuzzy Neural Network
inferred← citeshttps://doi.org/10.1007/s40430-024-05070-yopenalex-snapshot
Artificial neural networks for PIO events classification comparing different data collection procedures
inferred← citeshttps://doi.org/10.1016/j.arcontrol.2017.09.009openalex-snapshot
Review of control models for human pilot behavior
inferred← citeshttps://doi.org/10.1016/j.ast.2013.10.001openalex-snapshot
Automatic landing system design using sliding mode control
inferred← citeshttps://doi.org/10.1016/j.ress.2014.03.013openalex-snapshot
An analysis of flight Quick Access Recorder (QAR) data and its applications in preventing landing incidents
inferred← citeshttps://doi.org/10.1016/j.ssci.2017.09.027openalex-snapshot
Effects of flare operation on landing safety: A study based on ANOVA of real flight data
inferred← citeshttps://doi.org/10.1108/aeat-02-2018-0088openalex-snapshot
Unmanned aircraft automatic flight control algorithm in loop manoeuvre
inferred← citeshttps://doi.org/10.1108/aeat-05-2019-0099openalex-snapshot
Unmanned aircraft automatic flight control algorithm in a spin maneuver
inferred← citeshttps://doi.org/10.1108/aeat-11-2020-0269openalex-snapshot
Unmanned aircraft automatic flight control algorithm in an Immelmann manoeuvre
inferred← citeshttps://doi.org/10.1109/aero.2009.4839640openalex-snapshot
Analysis of pilot landing control in crosswind using neural networks
inferred← citeshttps://doi.org/10.1109/smc.2015.192openalex-snapshot
Investigation of Human First-Person Guidance Strategy from Gaze Tracking Data
inferred← citeshttps://doi.org/10.1109/taes.2017.2760779openalex-snapshot
A Fuzzy Human Pilot Model of Longitudinal Control for a Carrier Landing Task
inferred← citeshttps://doi.org/10.1243/09544062jmes1546openalex-snapshot
Aeronautics and astronautics: Recent progress and future trends
inferred← citeshttps://doi.org/10.1299/jmtl.1.14openalex-snapshot
Neural Network Analysis of Pilot Landing Control in Real Flight
inferred← citeshttps://doi.org/10.24136/atest.2019.249openalex-snapshot
Sterowanie trajektorią podczas lotu akrobacyjnego
inferred← citeshttps://doi.org/10.2514/1.30208openalex-snapshot
Analysis of Visual Cues During Landing Phase by Using Neural Network Modeling
inferred← citeshttps://doi.org/10.2514/1.42576openalex-snapshot
Neural Network Modeling of Lateral Pilot Landing Control
inferred← citeshttps://doi.org/10.2514/1.c000204openalex-snapshot
Modeling of Pilot Landing Approach Control Using Stochastic Switched Linear Regression Model
inferred← citeshttps://doi.org/10.2514/6.2007-2840openalex-snapshot
Optimization of Neural Network Modeling for Human Landing Control Analysis
inferred← citeshttps://doi.org/10.2514/6.2008-880openalex-snapshot
Neural Network Analysis of Pilot Landing Control under Real Flight Condition
inferred← citeshttps://doi.org/10.2514/6.2009-6031openalex-snapshot
Modeling of Human Pilot Landing Approach Control Using Stochastic Switched ARX
inferred← citeshttps://doi.org/10.26467/2079-0619-2022-25-3-16-25openalex-snapshot
Method for determining of aircraft landing performance by the simulation modeling
inferred← citeshttps://doi.org/10.3103/s1068798x22010063openalex-snapshot
Confidence-Based Assessment of Pilot’s Psychophysiological Condition
inferred← citeshttps://doi.org/10.32657/10356/62132openalex-snapshot
Optimization, dynamics analyses and trajectory tracking of aircraft perching maneuvers
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