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In this study, we propose hopfield neural networks with problem perturbing noise. In the proposed system, external noises are not induced to state values of neurons in order to avoid problems caused by the noise injection into the state values. We investigate the solving ability of the proposed system for quadratic assignment problems.
Solving combinatorial optimization problems is one of the important applications of neural networks. Many researchers have proposed noise induced hopfield neural networks in which noises are induced state values of neurons. However, the noise inducing method to state values of neurons cause problems. In this study, we propose hopfield neural networks with periodic brake. In the proposed system, external...
Two coupled logistic maps whose parameters are forced into periodic varying are investigated. From the investigation of bifurcation in this system, nonexistence of odd periodic orbit except fixed point and existence of many coexisting attractors, which consist of periodic orbits or chaotic orbits, are observed. Basins where boundary depends on the invariant manifold of saddle points are numerically...
This paper describes a method for automated shape and pose (position and orientation) identification of partially exposed metal objects that enables safe and efficient excavation of hazardous materials. The method estimates the object pose by matching a model of the object with the area that is extracted from the range image using the characteristics of metal objects. The paper introduces a method...
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