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Infotainment rose in the late 1980s and early 1990s and boomed at the end of the twentieth century via Internet and multimedia. Now, with the rapid economic development, the audience wants to get more amusement through news media after work, so plenty of infotainment sites and apps have sprung up, maximizing...

The production process of aggregate industrial is monitored by the identification of the digital. In the video, the digital character whose size is less than 12 15(The width of the digital image is 12 pixels, and the height is 15 pixels.) is defined as the small digital. The recognition effect is evaluated...

For the purpose of this article, there is a huge amount of work in feature extraction, selection and other aspects using traditional supervised machine learning methods, and features for different applications often required different scenarios which need to manually design, but with the final result...

In the research of the transformation method of numerically-controlled machine tool (NC machine), due to the current methods exist the problem of that for solving process is complex and the optimization process is easy to fall into local optimal solution, a transformation method of NC machine based on...

Flame retardant and mechanical properties of ammonium polyphosphate (APP), melamine phosphate (MP) and their combination with dipentaerythritol (DPER) in styrene-butadiene-styrene rubber (SBS) were studied. The results indicate that MP is more effective in raising limiting oxygen index (LOI) in SBS than...

In order to looking for the fault of rock drilling hydraulic pump, the data of pressure and flow can be collected, from which wavelet analysis was used to find characters of the fault. So a new rock drilling pump fault diagnostic model by SVM was based on the energy value of the data deal with wavelet...

Online learning is a learning way to use online education platform for learners. It could let the learners start learning at anytime from anywhere by removing the traditional education's time and space limit. As the online learning style becomes more and more popular, its main base environment has gradually...

Charging, discharge, maintenance and energy management technology for electric vehicle power battery is relatively backward, An advanced and reasonable method is presented for battery state of charge( SOC ), used simple rough set attribute ,simplified battery charging related parameters, the simplified...

After analyzing the superiority and the deficiency of K-means clustering algorithm, the author put forwards the IDS based on the 2-SVM, according to the research achievement on SVM in the field of IDS. The result shows that this algorithm can avoid the problem of decreasing detection rate by local optimum...

In order to improve the result of text dimension extraction, a text dimension reduction method which is based on CHI and TF-IDF is designed and realized. News websites on the Internet provide news articles, through the page analysis based on SVM and application method designed based on CHI and TF-IDF,...

In this paper, we proposed a mixed model of text classification constructed by latent dirichlet allocation and deep learning. The model present that a text will be represent as a vector computing by latent dirichlet allocation algorithm, and this vector is probabilistic vector of corresponding topic...

The detection of rail fastener defects is the key to ensure the running safety of high-speed trains. Traditional method is usually be detected rely on train workers who walk along railway lines to find out the potential risks. The method by artificial maintenance is slowly, costly, and dangerous. As...

Under the background of big data recent studies have revealed that emerging modern machine learning techniques are advantageous to statistical models for credit risk evaluation, such as SVM. In this study, we discuss the applications of the evolution strategies based support vector machine with mixture...

In order to improve the mechanical structure of the type of fault resolution precision high voltage circuit breaker spring mechanism, the paper analyzes the characteristics of the circuit breaker and the combination of mechanical vibration signal PSO algorithm (PSO) SVM parameter optimization method...

How UI designers and business engineers collaborate to development apps on Android platform conveniently and effectively is a difficult problem to tackle when projects get more complicate and need more effort. This paper compared the commonality and variability of MVVM with the commonly used MVC and...

An intelligent analysis model of international trade safety in China was developed based on fuzzy least squares support vector machine(FLS-SVM). The application results revealed that the intelligent analysis model is valid for improving the analysis accuracy of the data with noises or outliers and its...

Under the background of the less connection between teachers and students in universities and the rapid development of the Internet, and according to the needs of students and teachers, the topic was to design and develop university research and academic platform prototype based on Android. First of...

The Black-Scholes options pricing model (BSM) is limited by the influences of many unexpected real world phenomena caused due to its six unreasonable assumptions, which often make the miss-pricing result because of the difference of market convention in practical. If we were to soundly take these phenomena...

This paper examined bankruptcy predictive accuracy of five statistics models--discriminant analysis logistic regression, probit regression, neural networks, support vector machine (SVM), and genetic-based SVM (GA-SVM) that influenced by variable selection. Empirical results indicate that the SVM-based...

As a new general machine-learning tool based on structural risk minimization principle, Support Vector Machines (SVM) has the advantageous characteristic of good generalization. For this reason, the application of SVM in fault diagnosis field has becomes one growing reach focus. In this paper, data fusion...