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Double-deck elevator systems using genetic network programming with reinforcement learning
Kernel regression for travel time estimation via convex optimization
Gaussian processes and reinforcement learning for identification and control of an autonomous blimp
Evolutionary Computation Methods for Helicopter Loads Estimation
Pattern matching as the nucleus for either autonomous driving or driver assistance systems
Neural networks for continuous online learning and control
UUV teams, control from a biological perspective
Autonomous helicopter control using reinforcement learning policy search methods
Optimierung der Verfügbarkeit und des Aufwands von Kfz-Bordnetzen mit Hilfe der Neuro-Fuzzy-Methode
Hypothesis generation strategies for adaptive problem solving (spacecraft mission control)
Oppositional particle swarm optimization algorithm and its application to fault monitor
Fahrerspezifische Prädiktion von Fahrmanövern mit Fuzzy Logic
Robot design for space missions using evolutionary computation
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Vibration modeling improves pipeline performance, costs
Learning and adaptation in an airborne laser fire controller
An Ant Colony Optimization using training data applied to UAV way point path planning in wind
Research on suspension system based on genetic algorithm and neural network control
Prediction of vehicle reliability performance using artificial neural networks
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
Fast, Scalable, Model-free Trajectory Optimization for Wireless Data Ferries
Learning fuzzy rules with tabu search-an application to control
Dynamic construction of routine patterns for transport vehicles based on ant colony system
Traffic incident detection using particle swarm optimization
Adaptive dynamic programming for multi-intersections traffic signal intelligent control
Software V&V support by parametric analysis of large software simulation systems
Adaptive multi-sensor integration for mine detection
Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms
A new scheme for vision based flying vehicle detection using motion flow vectors classification
Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm
ATR applications of minimax entropy models of texture and shape
An accurate COG defuzzifier design by the co-adaptation of learning and evolution
Interaktives Lernen in der Stellwerksausbildung - Verknüpfung von Lernplattform und Simulation
Driver behavior and situation aware brake assistance for intelligent vehicles
Transfer of human control strategy based on similarity measure
Neuro-based adaptive controller for longitudinal flight control
Mechanical fault diagnosis using wireless sensor networks and a two-stage neural network classifier
On-road vehicle detection using Gabor filters and support vector machines
Longitudinal control of vehicle platoon via wavelet neural network