The DHE conforms to the definition of a complex-based non-manifold geometric model [11]—it allows for representation of solids where a dual node represents a volume and all primal edges and nodes connected with this node define the volume boundary; dangling faces, edges and combination of ...
Thus, we can define the difference between the distribution of the throughput as the cost parameter in Q-learning. The agent finally chooses the best ABS ratio when Q-learning is converged to the minimum cost. The detailed steps of Q-learning-based dynamic ABS scheme consists of two steps: ...
In particular, in order to set the T-matrix simulation for each hydrometeor class, WRF outputs (wind fields, temperature, and microphysical parameters) have been used to define the size distributions of the particles and the probability density function of the aspect angle and the canting angle....