The selection of model parameters which directly determine the form and complexity of Support Vector Machines classifier and influence the classification accuracy and generalization ability of SVM model is a front-line widely-interested issue in the study of SVM. The traditional kernel parameters selection lacks of theoretical support, needs too much number of iterations and calculated
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BCI system is a communication system for controlling a device, e.g. computer, or wheelchair, by human intensions, which does not depend on the brain’s normal output pathways of peripheral nerves and muscles but relies on the detectable signals representing responsive or intentional brain activities. BCI system use computer and other equipment to gather and analyze
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Chemical process modeling is a main field of chemical engineering process and plays a fundamental role in process simulation, optimization and control. However, because most chemical processes have very complex mechanisms, strong-coupling and high severe nonlinearities, it’s hard to establish mechanism model, which is the reason why empirical modeling is adopted. Artificial neural network models
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Chemical process modeling is a main field of chemical engineering process and plays a fundamental role in process simulation, optimization and control. However, because most chemical processes have very complex mechanisms, strong-coupling and high severe nonlinearities, it’s hard to establish mechanism model, which is the reason why empirical modeling is adopted. Artificial neural network models
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With the development of electronic information technology, there is an increasing need of computer applications at work and life for Xinjiang people of all ethnic groups. Many traditional literature and print of ethnic minorities, such as paper documents in news agencies, libraries, ancient literature publishing house, archives and a number of specialized units, is in
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In digital communication system, the intersymbol interference(ISI) caused by multipathtransmission and fading causes that the received signals suffer from severe distortion. In order toimprove the communication quality, it is necessary to equalize the received signals to alleviate oreliminate ISI. The traditional adapitive equalization needs periodically sending training sequencesto trace the channel variation, which enhances the
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Automatic identification and location of fruit was very important for the fruit picking robot, in order to prepare for the picking, the identification and location with high accuracy were essential. Automatic identification and location of fruit involved in a wide range of related technologies, including image processing, pattern recognition, stereo vision, etc. The main research
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This article introduces multitask multiclass privileged information support vector machines. This paper also presents support vector machines, multiclass classification problems, multitask learning, privileged information learning in classification problems in detail.Support vector machines are important implementations of the statistical learning theory. Support vector machines have very strong capabilities to learn and to gener-alize in classification and
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Today, the wireless sensor network technology not only has been applied to themilitary field for a long time, also has been widely applied to the civil field. A wirelesssensor network is composed of many sensor nodes, it perceives, monitors and gathersinformation from the surrounding environment, and through certain local processing,transfers sense’s data to the user.
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With the ceaseless development of human society, people’s living standardsgradually improved and spurred to greater demands on the quality of life and health.However, engaging in mental work for a long time, lack of sleep or emotionaldistress, fatigue and irregular life can cause internal function disorder,cardiovascular disorders and unusual glandular secretion. This could affect thepeople’s normal
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