The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To eliminate common-mode voltage (CMV) of cascaded multi-level inverter, a novel strategy is carried out respectively in the point of 2-level SVM and 3-level SVM, which can be easily applied in cascaded high voltage (HV) inverters by sampling time staggered technique. The concept of left-and-right leg groups is proposed for the special structure of 2-level SVM, and the phase difference between two...
In this study, a potential support vector machines (P- SVM) with genetic algorithm (GA) is proposed to supplier selection. P-SVM is used to select optimal classifier using "support feature" by exchanging the roles of data points and features. On the other hand, one-against-one method is applied to solve the problem of multi-class. In addition, genetic algorithm is applied to accomplish the...
Measuring productivity performance has become an area of concern for companies and policy makers. Computing high-technology manufacturing (HTM) productivity level and growth rate have gained a renewed interest in both growth economists and trade economists. A novel way about nonlinear regression modeling of high-technology manufacturing (HTM) productivity with the potential support vector machines...
Tracking historical levels as well as estimating future levels of patent applications is an ongoing activity of considerable significance. The patent applications filings (PAF) are complex to conduct due to its nonlinearity of influenced factors. Support vector machines (SVM) have been successfully employed to solve nonlinear regression and time series problems. Grey theory is a truly multidisciplinary...
Computing high-technology manufacturing (HTM) productivity level and growth rate have gained a renewed interest in both growth economists and trade economists. Measuring productivity performance has become an area of concern for companies and policy makers. A novel way about nonlinear regression modeling of high-technology manufacturing (HTM) productivity with the potential support vector machines...
The patent applications filings (PAF) are complex to conduct due to its nonlinearity of influenced factors. In this study, a grey support vector machines with simulated annealing algorithms (GSVMS) is proposed to forecast PAF. In addition, GM (1, N) model of grey system is used to add a grey layer before neural input layer and white layer after SVM layer. Simulated annealing algorithms (SA) are used...
In order to improve the accuracy to diagnose rate earlier stage gastric cancer with Fourier transform infrared spectroscopy (FTIR), a novel method of extraction of FTIR feature using continuous wavelet transform (CWT) analysis and classification using the support vector machine (SVM) was developed. To the FTIR of gastric normal tissue, early carcinoma and advanced gastric carcinoma, 9 feature parameters...
In this paper, a multi-class classification system is developed for medical images. We have mainly explored ways to use different image features, and compared two classifiers: principle component analysis (PCA) and supporting vector machines (SVM) with RBF (radial basis functions) kernels. Experimental results showed that SVM with a combination of the middle-level blob feature and low-level features...
In recent years, computing high-technology manufacturing (HTM) labor productivity (LP) level and growth rate has gained a renewed interest in both growth economists and trade economists. Measuring LP performance has become an area of concern for companies and policy makers. HTM LP is complex to conduct due to its nonlinearity of influenced factors. Support vector machines (SVM) have been successfully...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.