Applied Mechanics and Materials Vols. 687-691

Abstract: Route planning model problem is a key point in flight route planning problem research. Whether objective function model design is reasonable or not has very important influence on the efficiency and accuracy of route planning. Continuous threat probability function model is established, route planning objective function model is constructed, and genetic algorithm is applied to route planning, and finally the effectiveness of the model is verified by simulation calculation.

Abstract: Because of the complexity, particularity and high-cost nature of aviation assault surface warship, this article studies aviation assault surface ship simulation platform development method and implementation process with scalability, interoperability and good reusability based on HLA simulation architecture; At the same time, prove the feasibility and superiority of this component oriented system development model by taking simulation system development as an example.

Abstract: For the problems of obscure demand of users, insufficiency and difficulty in correct acquisition in the process of knowledge retrieval, this paper combines with basic theory of interactive genetic algorithm to discuss its application model in the process of requirement and acquisition of knowledge retrieval. And then, it uses the interactive information produced in the retrieval process to make improvement on matching method based on concept map. It uses the interactive information produced in the retrieval process to calculate weight of users to search concept, which enhances the knowledge matching efficiency of concept map. Through test, it compares that intelligent knowledge retrieval system based on ontology has double advantages with high intelligence and efficiency.

Abstract: This paper extends the polynomial function to double logarithmic function, constructing a class of multi parameters iterative function, and uses this function to calculate the fractal interpolated surface for given interpolation points, and establishes the iterative function mathematical model of multi parameters fractal interpolation. In order to verify the effectiveness and reliability of this proposed model algorithm, this paper uses MATLAB numerical simulation method to calculate, and programs the Newton iterative function of multi parameters fractal interpolation surface, finally gets calculation nephogram of multi parameters fractal interpolation curved surface through calculating. Finally, using iterative method reduces the surface grid size, increasing the smoothness of the surface, so the surface is closer to the actual surface. It provides a new computer method research of fractal interpolation function.

Abstract: This paper mainly discusses the optimal solution for hyper-sphere integral classification process of big data. The paper proposes an optimal calculation method for the target problem. Through statistics and analysis of big data, we get the constraint condition, and calculate a maximum value of data characteristic. Then, by the dual programming of Quadratic Programming, we obtain the optimal classification function for hyper-sphere integral classification process of big data. The experiment results show that the proposed algorithm can significantly improve the accuracy of the classification hyper-sphere integral for big data.

Abstract: In the process of massive student data mining using traditional method, special words and related characteristics were used as mining objects. The concealment and feature of deliberately camouflaged of information made it is difficult for mining model to form an effective cluster centers, which reduced the accuracy of information mining. Hence an optimized data mining method was proposed. According to the degree of generalization and fuzziness of the feature words of student, the threshold of mining information was set, which avoided the effects of redundant information, thus the efficiency of mining was improved. The experimental results showed that using the improved algorithm to perform information mining in massive student database could effectively improve mining efficiency.

Abstract: A novel method is proposed by constructing the intersecting line of two tapered surfaces to smooth blending non-coplanar axes. Necessary and sufficient conditions for smooth blending two non-coplanar cylindrical surfaces are achieved. Specific example is also provided.

Abstract: By analyzing influence factors of the document that the retrieval system recommends to the user, a user preference model is established. Based on the correlation between the emergency vocabularies, which is adjusted by the user preference model, a vocabulary correlation matrix is put forward to extend the retrieval model. Furthermore, according to new retrieval results and records of user operation, the user preference model is optimized. Finally, the validity and usefulness of the keyword extension-based user preference model in the algorithm is verified.

Abstract: Artificial Fish Swarm Algorithm (AFSA) since 2002 has been proposed by Dr. Li Xiao-lei more than ten years, and has been widely used in various engineering fields. However, since a lot of comprehensive standard running tests has not yet been made with the algorithm, it has not yet been unanimously recognized by the international academic community. By 34 Benchmark Functions tested with AFSA, the result evaluation for functions that are applicable and not applicable by AFSA is summarized. Also in order to overcome the drawbacks of Global Artificial Fish Swarm Algorithm (GAFSA) such as slow convergence and low precision, a modified GAFSA(MS_GAFSA) is proposed. Combined with GAFSA and Modified Simplex, the algorithm can improve the convergence speed and precision of optimization. When GAFSA converges to the global optimum nearby, a simplex is constructed and the algorithm switches to Modified Simplex method which will continue to optimize until a certain stop condition is satisfied. Take the best point of simplex vertex at this time as the optimal value. The computational results on 34 Benchmark functions show that MS_GAFSA does improve in optimizing accuracy and convergence speed.

Abstract: This paper mainly discusses the problem that linear space is covered by its subspaces, which is a difficult part in related books. We used the cardinality of infinite set to reveal the subspaces cover, proposed the concept of minimal cover, and analyzed the minimal cover of finite dimensional linear space.