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Least squares support vector machines (LSSVM) has a good performance in small data samples, but can't solve the large-scale sample problems. In this paper, large data set sparse least squares support vector machines model based on stochastic entropy is proposed, and it can be applied to large-scale data samples. Firstly, the large-scale data set is divided into several subsets. Then the entropy method...
As a common practice in software development, program obfuscation aims at deterring reverse engineering and malicious attacks on released source or binary code. Owning ample obfuscation techniques, we have relatively little knowledge on how to most effectively use them. The biggest challenge lies in identifying the most useful combination of these techniques. We propose a unified framework to automatically...
Community structure of complex network by genetic algorithm has drawn much attention of researchers in various field in recent years. Genetic algorithm is easy to trap into local optimal and also easy to obtain unstable solutions. In order to solve this problem, an effective mutation method combined with node-to-community membership function that is based on the local information of each node in networks...
The paper introduces an on-road charging system for several electrical vehicles (EV) at the same time based on magnetic resonant coupled wireless power transfer (WPT). To analyze the proposed system, an equivalent circuit model of the system with single longer transmitting coil and several shorter receiving coils is presented. System efficiency is of particular interest and is found to be determined...
As traditional microstrip antenna has the disadvantage of narrow bandwidth, a kind of adaptive differential evolution algorithm based on dual population has been put forward, in combination with RWG-SWG hybrid basis function integral equation, to optimize and design a wideband antenna. In the algorithm, one population as a development and another population as a probe are used to increase the diversity...
Construction site layout is multi-objective optimization (MOO) problem. However, the previous researchers treated site layout as a single objective optimization problem, which is far away from the reality. In this study, site layout was treated as MOO problem. The two objective functions are minimizing the likelihood of accidents happened and total handling cost of interaction flows between the facilities...
In this paper, surface electromyographic signal is analyzed by wavelet transform. The feature vectors are built by extracting the singular value of the wavelet coefficients. The multi-class support vector machine classifier is designed by using four kinds of multi-class classification approaches, and completed the eight class surface EMG pattern classification. The SVM classifier is applied to the...
A new neural network for least squares support vector machines (LS-SVM) learning, which combines LS-SVM with recurrent neural networks, is proposed based on the learning network of standard SVM. It is obtained using Lagrange multipliers directly which eliminates the nonlinear parts of the standard SVM learning network. The proposed network can be used for classification and regression application,...
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