该方法采用纠错编码支持向量机的多类分类技术，降低了经验风险，能对误差进行自动修正，有效地提高了识别率和识别速度。
A kind of error correction coding methods in the communication between singlechip′s serialport and PC in the electric spark forming machine control system is proposed.
采用了一种基于编码支持向量机的多分类方法，该方法解决了SVM多分类问题的同时，有效地减少了训练和测试时间，提高了算法的效率。
We solve the multi-classification task by using a so called Coding SVM. By using this algorithm, we not only solve the classification task but also reduce the training and testing time.
针对边缘匹配矢量量化图像编码方法存在的出轨现象，提出一种引入支持向量机的方法。
To tackle the derailment phenomenon consisting in side-match vector quantization image coding technology, we introduced support vector machine.
针对边缘匹配矢量量化图像编码方法存在的出轨现象，提出一种引入支持向量机的方法。
To tackle the derailment phenomenon consisting in side-match vector quantization image coding technology, we introduced support vector machine.
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