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Most techniques for dealing with imbalanced data classification in SVM-related methods are sampling, weighting and ensemble strategies, which aim at balancing the importance of different classes when computing the decision boundary. But how to choose and design an appropriate balance strategy is still a difficult problem. In this paper, we propose a between-class discriminant twin support vector machine...
In this letter, we propose a ranging estimation scheme for indoor positioning based on high-speed visible light communication (VLC) system. The proposed scheme could provide high accuracy position of the receiver, without affecting the transmission efficiency of VLC. Discrete multi-tone (DMT) VLC signals emitted from light-emitting diodes (LEDs) are employed for both of high-speed communication and...
This paper introduces an automatic categorical-marking model for text categorization. Traditional classification algorithms are generally applying labeled training set and call for a lot of manual work to tag classifications beforehand. Also due to the ambiguity and fuzziness of texts, the results of traditional text categorization algorithms may not be clear enough and abundant in content. This paper...
We propose a novel training symbol structure for polarization division multiplexed (PDM) coherent optical orthogonal frequency division multiplexing (CO-OFDM) system. We deduce the mathematical model for the scheme. Based on the given model, a novel compensation method is introduced to compensate the IQ imbalance. The theoretical analysis is validated by numerical simulation, in which we apply the...
For the past several decades, offline handwritten character recognition is widely and deeply studied. However, the requirements of the identification results are constantly improving in practical applications. This paper presents a new classifier cascaded model to improve the accuracy of offline handwritten Chinese character recognition. New model is the fusion of modified quadratic discriminant function...
This paper introduces the BP neural network briefly, discusses the application of BP neural network algorithm in evaluating the reliability of software, constructs the evaluation index system of software reliability based on the neural network, and finally implements the software reliability evaluation system. This system takes the scores of influence factors of software reliability as input which...
Neural network is easy to fall into the minimum and over-fitting in the application. The paper proposes a novel dynamic weight neural network ensemble model (DW-NNE). The Bagging algorithm generates certain neural network individuals which then are selected by the k-means clustering algorithm. In addition, for the integrated output problems, the paper proposes a dynamic weight model which is based...
The coal logistics demand in this paper is refer to the demand of coal transportation, mainly including: the railway, highway and waterway freight volume of coal. In consideration of the small and the nonlinear history sample, this paper combines the support vector regression machine (support vector regression, SVR) and Particle Swarm Optimization algorithm, (Particle Swarm Optimization, PSO) to propose...
For non-contiguous OFDM (NC-OFDM) based cognitive radio (CR) systems, one of huge challenges is to establish spectrum synchronization before data transmissions. In this paper, we propose a novel active subchannel detection scheme for the NC-OFDM receiver without out-of-band spectrum synchronization information. The key idea of the proposed scheme is to employ the received training symbol to calculate...
To meet the increasing demands of multiple QoS levels services, customer perception-based service quality evaluation should be the premise guarantee in end-to-end service optimizing process. However, in the practical application, due to the intrinsically subjective perception of customers and the objective condition of service quality, conventional customer evaluation approaches can hardly reflect...
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