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According to the nonlinear series characteristic of the price of imported iron ore, this paper proposes a support vector machines (SVMs) model for import iron ore price forecasting. But parameters of SVMs model are very difficult to determined, particle swarm optimization(PSO) algorithms are used to search these parameters and make sure the accuracy of SVMs model. Compared with autoregressive integrated...
A real-time emotion assessment method based on physiological signals was proposed. Firstly, electrocardiography, skin temperature and galvanic skin response were selected as physiological signals. Physiological indicators were considered model inputs, to guarantee the method real-time assessment, simplified support vector machines (SVM) was used to infer affective states. The experimental results...
Recently, support vector machine (SVM) has been applied to ECG wave detection fields successfully, based on its salient properties that other learning method do not provide. One drawback for SVM is that the time taken for classifying a new pattern is proportional to the number of support vectors, so if that number is large, classification speed is slow, which will impair the detection speed of QRS...
Driver fatigue is a major risk for road accidents that can often result in injury and death. In this paper, the chaotic degree of ECG under different driving fatigue states was measured. The chaotic degree of the system was reflected by sample entropy in this paper. The relationship between different driving fatigue states and the corresponding sample entropy of ECG was analysed. The findings emphasize...
An evaluation method based on support vector regression (SVR) is put forward for the purpose of predicting subjective perceptions of automobile seat comfort. The inputs included fourteen seat interface pressure measures, three anthropometric. The output was an overall comfort index derived from occupant responses to a survey. In process of experimental data analysis, the algorithm of the least squares...
A method for regression of non-linear relations between resonance parameters and moisture content is employed in order to eliminate the measurement errors. A multiple non-linear regression model based on support vector machine(SVM) is built. Then, the eigenvalue and contribution degree of resonance frequency, quality factor and environment temperature are calculated. Experiments are employed by SVM-KM...
In this study, a driving posture prediction method was proposed based on the feeling of driving comfort. At the first, independent variables and dependent variables were selected. Secondly, fuzzy theory was introduced to depict the driver's feeling of comfort, and then a model was built to assess the relation between design parameters and comfort assessment based on fuzzy SVM. At last, the development...
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