Target recognition using neural networks for model deformation measurements
Stochastic optimal control of active vehicle suspensions using learning automata
SSME parameter model input selection using genetic algorithms
Software V&V support by parametric analysis of large software simulation systems
Self-adaptive recurrent neuro-fuzzy control for an autonomous underwater vehicle
Robust servo-control for underwater robots using banks of visual filters
Robot design for space missions using evolutionary computation
Research on suspension system based on genetic algorithm and neural network control
Research on availability of satellite images based on immune feedback learning fuzzy neural network
Reinforcement learning-based multi-agent system for network traffic signal control
Promoting Environmentally Benign Electric Vehicles
Prediction of vehicle reliability performance using artificial neural networks