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Aimed at solving the problem that traditional clustering methods are vulnerable to the sparsity feature of the high dimensional data, a spectral clustering algorithm is proposed based on K-SVD dictionary learning. The algorithm firstly learns a dictionary by K-SVD and obtains sparse representation coefficients of all data samples in the dictionary by l1 sparse optimization. Then the similarity matrix...
Based on the wind tunnel test data of actual unmanned aircraft, the dynamics and kinematics nonlinear model is established. Firstly, the robustness control system of a single unmanned aircraft is designed by the stochastic robustness analysis and design method. Secondly, based on the inner loop stability of single aircraft, a formation flight control method based on the Leader-follower model in three...
Lazy learning has shown promising reliability in data stream classification mining, which suffer from ‘Curse of dimensionality’ in broad applications. Conventional Attribute selection methods always seek promising subspace by ranking all the attributes, which is not suitable for lazy learning, and suffer from high computing complexity. We proposed a novel attributes selection method ‘DistinGuishing...
According to the characteristic of long distance guidance vehicles, the countermeasures are pointed out by analyzing the basic guidance system of cruise-missile. And the feasibility of missile interceptor is researched and the technical feature of which is evaluated briefly. As viewed from the threaten of dynamic complex combat environment, this paper put focus on some tactical countermeasure approaches...
Wavelet packet energy spectrum is used to identify the damage of a large-scale steel platform using output-only data of structural dynamic response for the particularity of enduring reiterative impact loading. By way of removing the effects of environment factors to the results of damage identification, a method combining wavelet packet energy spectrum and factor analysis belonging to multivariate...
In order to study the application validity and veracity of regression technique of LS-SVM (Least Squares Support Vector Machine)in damage identification for plate structure, a numerical simulation of plate structure enduring great impact loading is built. Through the numerical simulation, the training samples are get for building the regression model of LS-SVM. Then the simulation experiments are...
ID3 algorithm as a classical decision tree algorithm has been used broadly for its simple idea, facile realization, effectiveness and efficiency. Furthermore, lots of related algorithms have been proposed to improve ID3 on different aspects such as ID4, C4.5 and so on. In this paper, we propose the improved classification algorithm by minsup and minconf based on ID3 to decrease the data amount and...
Based on rough set theory, the paper proposed a clustering algorithm to deal with the quality and efficiency of clustering algorithm. By use of the consistency of condition attributes and decision attributes in the information table, the algorithm introduced a formula of attributes importance to reduce the redundant attributes. According to the data super-cube and entropy, the algorithm discretized...
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