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Unlike English, the Chinese language has no space between words. Segmenting texts into words, known as the Chinese word segmentation (CWS) problem, thus becomes a fundamental issue for processing Chinese documents and the first step in many text mining applications, including information retrieval, machine translation and knowledge acquisition. However, for the geoscience subject domain, the CWS problem...
An improved classifier based on nearest feature line, is proposed in this paper. The new classifier is called as limited nearest feature line (LNFL). The purpose of LNFL is to improve the miss-classification of nearest feature line when the prototypes in NFL are far away from the query sample. A lot of experiments are executed on ORL and AR face database. And the detailed comparison result is given...
in this paper, a three-layer Discriminative-Adaptive Neural Network algorithm (DANN) is proposed in indoor Positioning System. By using Multivariate Discriminant Analysis, a weight matrix could be acquired, then it could input these weighting signals into the Neural Network for training, and it could get a minimum mean square error, finally, we could get the Minimum error positioning results. Experimental...
In mobile environment, when downloading and opening learning resources it would need the large data communications bandwidth and strong data processing ability. Due to the intrinsic limitations of a mobile environment, there can be long time latency for a data access. Data prefetching is an approach to this problem. in this paper, a improved data prefetching strategy was proposed. based on existed...
In this paper, an improved adaptive filtering algorithm based on vector space model was proposed. First, feature selection and pseudo feedback were used to select the initial filtering profiles and thresholds through training algorithm. Then user feedback was utilized to modify the profiles and thresholds adaptively through filtering algorithm. The algorithm had two advantages, the first was that...
This paper expounds three kinds of grey neural network combined model for short-term prediction of urban traffic speed, and confirms their validity and feasibility by conducting experiment in Beijing road of Jingzhou. Three kinds of networks are parallel grey neural network, series grey neural network, and inlaid grey neural network. The experiment proves that the three kinds of modes are feasible...
Under Cognitive radio (CR), the Quality of Service (QoS) suffers from many dimensions or metrics of communication quality for improving spectrum utilization. To investigate this issue, this paper develops a methodology based on the multiobjective optimization model with genetic algorithms (GAs). The influence of evolving a radio defined by a chromosome is identified. The Multiobjective Cognitive Radio...
This paper attempts to identify the reliability of detection of licensed primary transmission based on cooperative sensing in cognitive radio networks. With a parallel fusion network model, the correlation issue of the received signals between the nodes in the worst case is derived. Leveraging the property of false sensing data due to malfunctioning or malicious software, the optimizing strategy,...
With increasingly prevalent of E-learning, the intelligent Q/A system arise at the historic moment. In this paper we proposed an improved text cluster algorithm, with the improved association rules algorithm, it can classify the information in the database accurately according to the questions, locate the user's question fast and therefore speeds up the inquiry rate. The experimental result indicates...
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...
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,...
With the mature technologies and products, the next generation network has been more and more concerned in China. Chinese main telecom operators are beginning to associate test or structural network in order to expand their market. The article advances a new theory to solve the failure of the current communication networks that is the implementation of the passive caller resumption. It settles the...
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