A purely reactive navigation scheme for dynamic environments using Case-Based Reasoning
The POP learning algorithms: reducing work in identifying fuzzy rules
Learning fuzzy rules with tabu search-an application to control
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
Lane change intent analysis using robust operators and sparse Bayesian learning
Promoting Environmentally Benign Electric Vehicles
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Research on suspension system based on genetic algorithm and neural network control
Autonomous vehicle steering based on evaluative feedback by reinforcement learning
Target recognition using neural networks for model deformation measurements
Implementation of artificial neural networks for recognition of target and clutter images
Detecting mine-like targets: Synergistic effects of correlated and uncorrelated sensor channels