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A novel intelligent method for cut slope displacement back-analysis is proposed. The method employs the back-propagation (BP) neural network to establish a nonlinear relation between mechanical parameters and deformation behaviors of rock masses affected by excavation and reinforcement. Then genetic algorithm (GA) is incorporated to evolve the BP network topology and their connection weights in order...
The paper provides the method of the improved genetic neural network for image segmentation. The method uses improved genetic algorithm BP neural network weights and thresholds to optimize, and use the definition of bipolar fitness function mapping compression to speed up neural network training speed, and then use iterative improved neural network algorithm to achieve image segmentation. The results...
The spherical robot is a nonholonomic system and takes two motors as impetus sources. It can realize any omnidirectional movement by changing the position of the barycenter of weights. But the existing spherical robot is controlled by remote control, so it doesn't achieve the self-control in a real sense. In this paper, on the basis of the kinematic and dynamic models of the spherical robot, we start...
Based on a kind of typical high speed monohull vessel, the paper discusses an integrate optimization's method of Synthetical Fundamental Mechanics Characteristic with the materials of some ships and some relevant experience expressions. The authors use the weighted sum of rapidity, sea-keeping ability and maneuverability as the sub-objective function of ship performances; use the weighted sum of static...
Particle degeneration is a key issue in the performance of a particle filter. In this paper we introduce genetic Monte Carlo into sampling process with the basic idea of solving particle degeneration by means of evolution thought. It is shown that the novel particle filtering framework can effectively eliminate particle degeneration and reduce its dependency on the particle validity. Furthermore,...
In this paper, VC++ serves as a workspace to establish the features of speediness and navigation speed controlling. A mathematical model of intelligent propulsion system of an adjustable-pitch-screw-propelled hydrofoil sliding craft was built up, and then applied the fuzzy-genetic algorithm (FGA), to program the optimizing-computing process of the best combination of the controlling parameters of...
The radio frequency spectrum is a scarce natural resource, so it is very important to use the spectrum efficiently. Cognitive radio, which can greatly improve the spectrum utilization, is able to adjust the transmit parameters according to the environment. In this paper, an adaptive multi-objective genetic algorithm is proposed to design the cognitive radio engine. In order to improve the performance...
Articulated body motion tracking remains a challenge problem as its high-dimension and the dependence between the joint freedoms. In this paper we present a novel framework to achieve articulated body motion (walking in this paper) tracking by the use of pose-model based stochastic search algorithm which partitions the state space into two pars(pose and noise) and then processes recursively. Besides,...
Using particle filter to track human movement, a key problem is how to draw samples in high-dimensional state space. In this paper, we present a novel framework of particle filtering, namely Hierarchical Genetic Particle Filter (HGPF), to improve the efficiency of samples by a hierarchical evolutionary detection. As a result, we can obtain reasonably distributed samples thus translating into reliable...
Compared to single robot, multiple robots system has advantages for unknown environment exploration. The key problem is to allocate target points to multiple robots appropriately so that the multiple robots simultaneously explore different areas of the environment to guarantee minimum overall exploration time. However, the computation burden for optimal allocation exponentially increases with the...
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