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1)  Driving errors
驱动误差
2)  error-driven
误差驱动
1.
An error-driven hybrid fuzzy PD controller is presented, whose structure is analyzed.
提出一种基于误差驱动的混合型模糊PD控制器。
2.
To deal with this problem,a method called hierarchical fuzzy sliding mode control with error-driven adjustment parameters is presented.
针对工业现场普遍存在参数不确定并有外界扰动的高阶对象,将误差驱动增益自整定思想和模糊滑模控制策略相结合,提出一种带有误差驱动参数自整定结构的递阶模糊滑模控制方法。
3.
Presents a new method to deal with higher-order process, called hierarchical fuzzy sliding mode control with error-driven adjustment parameters.
针对工业现场普遍存在的高阶对象,提出了一种基于误差驱动参数自整定递阶结构的模糊滑模控制策略。
3)  drive error pattern,drive pattern
驱动误差图形
4)  error-driven
错误驱动
1.
This paper adopts three methods including Error-Driven,Support Vector Machines and Hidden Markov Model to recognize noun phrases in Chinese texts.
利用错误驱动法、支持向量机法和隐马尔可模型3种方法对汉语文本进行名词短语识别,对实验进行比较分析,结果表明SVM与HMM的识别效果总体上要好于错误驱动法,HMM法在封闭测试中优势明显。
2.
Using three methods of error-driven,support vector machine and hidden markov model,noun phrase recognition is carried on to chinese text,through comparative analysis to experiment,the results indicate that the recognition effects of SVM and HMM are overall better than the method of error-driven,HMM method has the distinct advantage in the closed test.
利用错误驱动法、支持向量机法和隐马尔可模型三种方法对汉语文本进行名词短语识别,对实验进行比较分析,结果表明SVM与HMM的识别效果总体上要好于错误驱动法,HMM法在封闭测试中优势明显。
3.
This paper proposes a hybrid error-driven combination approach to chunking Chinese Base noun phrase(Chinese Base NP),which combines TBL(Transformation-based Learning) model and CRF(Conditional Random Field) model.
本文采用一种新的错误驱动的组合分类器方法来实现中文Base NP识别。
5)  Differential drive
差动驱动
1.
Motion planning for differential drive mobile robot;
差动驱动式移动机器人的运动规划
6)  differential relay protection
差动误动
补充资料:驱动
1.驱使行动。 2.施加外力,使动起来。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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