Robust Pose and Inertial Parameter Estimation of an Unknown Aircraft Based on Variational Bayesian Dual Vector Quaternion Extended Kalman Filter. [PDF]
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Auditory perceptual maps in humans and mice share common structures and predict perceptual decisions in discrimination learning. [PDF]
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Impact of Maternal Obesity on Delivery Outcomes Following Labor Induction: A Single-Center Retrospective Cohort Study. [PDF]
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Nonlinear inertia weight in particle swarm optimization
2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 2017In this paper, a particle swarm optimization method with a new strategy for inertia weight has been considered. The author abandoned the commonly used linear inertia weight and proposed a new dynamic inertia weight based on fitness of the particles. The new weight is a function of the best and the worst fitness of the particles.
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Bat algorithm with inertia weight
2015 Chinese Automation Congress (CAC), 2015Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behavior of bats. However, the exploitation capability is not well for some multi-model problems. In this paper, a new parameter, inertia weight is introduced to improve the local search capability.
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Weight, gravitation, inertia, and tides
European Journal of Physics, 2015Summary: This paper deals with the factors that influence the weight of an object near the Earth's surface. They are: (1) the Earth's gravitational force, (2) the centrifugal force due to the Earth's diurnal rotation, and (3) tidal forces due to the gravitational field of the Moon and Sun, and other solar system bodies to a lesser extent. Each of these
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Selective Effects of Weight and Inertia on Maximum Lifting
International Journal of Sports Medicine, 2012A novel loading method (loading ranged from 20% to 80% of 1RM) was applied to explore the selective effects of externally added simulated weight (exerted by stretched rubber bands pulling downward), weight+inertia (external weights added), and inertia (covariation of the weights and the rubber bands pulling upward) on maximum bench press throws.
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A Method of Self-Adaptive Inertia Weight for PSO
2008 International Conference on Computer Science and Software Engineering, 2008The particle swarm optimization algorithm (PSO) has successfully been applied to many engineering optimization problems. However, the most of existing improved PSO algorithms work well only for small-scale problems on low-dimensional space. In this new self-adaptive PSO, a special function, which is defined in terms of the particle fitness, swarm size ...
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