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The navigation error of a platform inertial navigation system is a key factor to evaluate comprehensive performance of inertial navigation system. This thesis built an error model of the platform inertial navigation and used a proximal support vector regression (PSVR) method to quickly evaluate navigation errors of the platform inertial navigation system. The error model established in the thesis...
Asset quality is the foundation of enterprise survival and development we choose one-class support vector machine (OCSVM) is chosen to deal with asset quality abnormal detection for it pays great roles to acquire the abnormal data. As well as flexible to be constructed, Biorthogonal wavelet consists linear-phase nature and high vanishing moment, therefore, corresponding wavelet kernel functions are...
Support Vector Machine (SVM) is a machine learning theory based on statistical learning algorithms, SVM based on kernel function has lots of unique advantages on solving the small sample, nonlinear and high dimensional pattern recognition. This article al so uses BP neural networks, Support Vector Machine based on PSO algorithm and so on to be compared to identify propolis in Yunnan. Compared with...
In this paper, we investigate the problem of mispronunciation detection by considering the influence of speaker and syllables. Machine learning techniques are used to make our method more convenient and flexible for new features, such as syllables normalization. The experimental results on our database, consisting of 9898 syllables pronounced by 100 speakers, show the effectiveness of our method by...
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