针对这一缺陷,将基于小样本理论的支持向量机学习方法应用到发动机的故障诊断中。
To solve the problem of lack of fault engine sample, support vector machines, which is a method based on small sample theory is applied.
用模糊综合评判方法与BAYES理论相结合,给出由小样本试验数据确定岩土参数的概率分布。
By combining BAYES theory with fuzzy comprehension evaluation method, this paper suggests a new method to determine the distribution of rock parameters.
支持向量机是一种基于统计理论的机器学习算法,在解决小样本、非线性及高维模式识别中有独特的优势。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
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