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This paper is mainly devoted to identify an evolutionary approach based on search strategy, namely multiobjective evolutionary algorithm for indoor positioning (MEIP). Each subproblem is optimized by information from its several neighboring subproblems, which makes MEIP lower computational complexity at each generation and be capable of determining the user position with high accuracy. Experimental...
A fuzzy BP neural network model based on particle swarm optimization (PSO) is proposed in this paper. The basic idea of this model is, firstly, the relative membership degrees of fuzzy mathematics are used for deal with the input sample, and then use the algorithm optimizing. Secondly, PSO is used to optimize the BP neural network's initialized weights, an optimized result is got. Then based on the...
Color management for the printer is one of the key techniques in the color image reproduction. A New color management model is presented based on analyzing the printer color rendering principle. First, the paper takes standard color target for experimental sample, and substitutes color blocks in color shade district for complete color space to decrease calculation and improve process speed. Second,...
Principal components analysis (PCA) is an important approach to unsupervised dimensionality reduction. However, principal components (PCs) are a set of new variables carrying no clear physical meanings and still require all the original variables. To deal with this problem, the PC dominant feature (PCDF) is defined. Then, feature selection using them is considered and a new algorithm for determining...
The article analyzes the advantage and disadvantage of part lacking fidelity searching algorithm, based on early ending technology thought. Given the disadvantage of the partial distortion search (PDS) algorithm, it brings up one kind of improved method which is similar to it. The improved algorithm also calculates sum of absolute difference (SAD) once within a row and add it to the block pixel SAD,...
Word sense tagging is one of the difficult points in the field of natural language processing. This paper has studied Chinese word sense tagging with the hidden Markov model (HMM) based on semantic case amelioration in order to make use of statistical methods. Firstly,word sense tagging to the real text for application was carried on the HowNet, which is a kind of repository and regards the concept,...
Clustering technique was introduced to the field of crime data analysis for finding crime suspects, but compared with the high requirements for public security work, traditional clustering methods used in existing application systems provide a relatively low accuracy. To solve the problem, we proposed a new similarity measure method, i.e., segmented multiple metric similarity measure (SMMSM), to improve...
The paper introduces weighted Distributed Latent Dirichlet allocation for cluster ensemble. The idea is that for cluster ensemble we think every base clustering is not equally important, and thus we give the different weight to each base clustering and assume that the results of each base clustering is a multinomial distribution. First, we state a soft cluster ensemble model of WLDA and the latent...
With the rapid developing of the network information, it seems to be quite important to provide a more reasonable text classification algorithm for learners. In this paper,we adopt a sensitivity method to modify the characteristic weight in the distance formula and put up with a cutting method of training sample database based on CURE algorithm and Tabu algorithm; then adopt CURE cluster algorithm...
With rapid development of Internet information, It is quite an important project for data mining that how to classify these large amounts of texts. In this paper, we propose an improved text classify cluster algorithm, while calculating similarity, we synthetically consider the relationship between keywords and eigenvector representation on base of term frequency statistics, thereby it lessens sensitivity...
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