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In this work, some ubiquitous neural networks are applied to model the landscape of a known problem function approximation. The performance of the various neural networks is analyzed and validated via some well-known benchmark problems as target functions, such as Sphere, Rastrigin, and Griewank functions. The experimental results show that among the three neural networks tested, Radial Basis Function...
Vehicle collision avoidance is a promising safety approach to new transportation systems, with innovative capabilities, such as obstacle detection, vehicle collision avoidance control strategy and adaptability to different obstacles. This paper presents a Reactive Multi-agent solution to the vehicle collision avoidance control problem with a linear configuration. In our case, vehicle collision avoidance...
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