Advanced Materials Research Vols. 926-930

Abstract: In order to improve the prediction accuracy of the grinding surface roughness, this paper presents a prediction algorithm based on Least Squares Support Vector Machine with Particle Swarm Optimization (PSO-LS SVM). Chose the radial basis function as the kernel function of this new algorithm in where the regularization parameter and kernel function parameter of LS SVM were optimized by PSO, then the grinding surface roughness prediction model was established with the parameters optimized before. Through experimental analysis, it can be realized that compared to the conventional prediction methods, the prediction results of the proposed algorithm are closer to the actual roughness and the relative errors are smaller. As a result, the proposed algorithm is more acceptable.

Abstract: Aim to the path programme problem of satellite formation reconfiguration under low thrust, optimization is simulated based on Gauss Pseudospectral Method (GPM). The simulation result demonstrates that the GPM can effectively solve the the path optimization problem.

Abstract: In order to detect the saliency part in the picture of nature scene, usually, bottom-up saliency models use several feature information such as color and orientation, each feature is taken to compute the saliency map respectively, then these saliency maps are linearly combined to a final saliency map. However, how to fuse these features are still a difficult problem, linearly combined is not appropriate to the human visual system, so in this paper we propose a nonlinear metric fusion strategy with different features namely cross diffusion, it fuse the metric from diverse features which can be used to detect the saliency more appropriate.

Abstract: A based on the improved genetic algorithm of the stability is presented, for the current virtual network mapping study based on the underlying resources load imbalance. The algorithm consider for the constraint of the underlying physical node, link resources and the parameters of virtual network requests. Join control threshold α to decide to accept the request. Use the improved genetic algorithm to automatically adapt to the current load overheating network node, choose the best physical link and line up a virtual mapping. As can be seen through the analysis of simulation results, the algorithm can process the request maps faster than others algorithm, improve the stability and the load balancing capability.

Abstract: Data simplification is an important factor of the spatial data generalization. In this paper, the principle of the 3D D-P algorithm was introduced firstly, and aiming at the low computational efficiency of this algorithm, the first base plane was artificially designated instead of the loop search in the tight method, this improvement makes the computational efficiency to improve dozens of times , but the result of generalization of 3D discrete point is very similar to the generalized result by the tight method. This process was validated by experiments and this algorithm has a certain overall characteristics,therefore it has wide application prospect.

Abstract: The accuracy of roll force model and the rationality of roll fore adaptive model play a key role in obtaining the thickness of strip with high precision. The roll force model has been established. It includes the elastic flattened roller model and deformation resistance model considering the chemical composition of strip. A deformation resistance-based fitting curve is proposed in rolling force adaption, it can be inherited to any other thick range class. Application results show that the rolling force model and its adaptation are with high prediction accuracy and it has improved the strip thickness accuracy.

Abstract: The research of the digital image-processing of colorful painting is mainly to aim at the objective circumstances between the digital image and drawing flat vision distortion. This paper is based on the basic concepts of the digital image-processing technique. It expounds digital images advantage, collect, characteristics, recognition and the choice of the color space, the practical application of the digital image in the painting area in sequence. Through the study, we found computer has powerful ability to analyze management in the colorful painting field.

Abstract: The paper mainly research incremental sub-gradient method for the non-differentiable optimal problem in Hilbert space. And prove two conclusions about the sequence generated by this method.

Abstract: The paper proposed a new algorithm of attribute value reduction use attribute union, only need to scan decision table one time, through simple operation can get all the concise rules. To avoid the decision information table for repeatedly and a large number of operations, algorithm is presented a new method of calculating rules metrics and rules extraction methods, it can not only get a concise decision rules, but also keep the accuracy of decision rules are the same. Example analysis proves the feasibility of the algorithm, and deal effectively with consistent decision table and inconsistent decision table, it can keep the decision table of information remains the same.

Abstract: This paper compares Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory. Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory are all methods to study factors’ structure problem. Some steps of the two methods can completely replace each other and complement each other. This paper puts forward an integrated method of Structural Equation Modeling and Decision Making Trial and Evaluation Laboratory that includes competing model specification, model fitting, model assessment, model modification and result explain.