最小机 [
zuì xiǎo jī]
minimal machine
- 首先,我们提出一种具直观优点的分類法则,然后以总试验成本的最小化为目标,并赋予一正确分類的最小机率要求和错误分類的最大容许机率兩个限制条件,以决定出在所提出的分類法则下,各竞标设计样式所需的样本數、量测频率和试验终止时间的最佳组合。
Then, with respect to the objective of minimizing the total experimental cost, the optimal test plan (including the sample size, inspection frequency, and the termination time needed by the classification rule for each of competing designs) is derived by solving a nonlinear integer programming with a minimum probability of correct classification and a maximum probability of misclassification. - 仿真实验结果表明,最小平方支持向量机分类器在小样本模式识别中,有着优良的推广性能。
Simulation experiment result indicated that the least square support vector machine classifier has excellent generalization performance in recognition of small samples. - 摘要为了进一步提高支持向量机分类器的推广性能,采用最小二乘原理,形成最小平方支持向量机,编制了相应的MATLAB程序,并将其应用于小样本模式识别中。
In order to raise generalization performance of support vector machine classifier, this paper introduced the least square principle to obtain the least square support vector machine, programing in MATLAB, and then applying it to recognition of small samples.
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