统计模式分类的英文
发音:
"统计模式分类"怎么读用"统计模式分类"造句
英文翻译手机版
- statistical pattern classification
- "统计"英文翻译 statistics; census; numerica ...
- "模式"英文翻译 model; mode; pattern; type; ...
- "分类"英文翻译 classify
- "统计模式" 英文翻译 : statistical model
- "统计模式识别" 英文翻译 : statistic pattern recognition,; statistical pattern recognition
- "模式分类" 英文翻译 : pattern classification
- "模式分类器" 英文翻译 : pattern classifier
- "经济人口统计模式" 英文翻译 : economic demographic model
- "计算机化统计模式识别" 英文翻译 : computerized statistical pattern recognition
- "经济人口统计模式制订" 英文翻译 : economic demographic modelling
- "训练模式分类器" 英文翻译 : trainable pattern classifier; training pattern classifier
- "训练模式分类器系统" 英文翻译 : training pattern classifier system
- "最近邻域模式分类法" 英文翻译 : nearest-neighbor pattern classification; nearest-neighbourpatternclassification
- "核统计模型" 英文翻译 : uniform model of nucleus; wigner model of nucleus
- "统计模拟" 英文翻译 : statistic simulation; statistical simulation
- "统计模型" 英文翻译 : statistical model; statistical modol
- "统计模型套" 英文翻译 : nested statistical models
- "估计模式" 英文翻译 : estimation model
- "会计模式" 英文翻译 : accounting models
- "设计模式" 英文翻译 : design mode; design pattern
- "模式分类 将物体赋予模式类的过程" 英文翻译 : pattern classification
- "核的统计模型" 英文翻译 : statistical model of nucleus
- "统计模拟方法" 英文翻译 : monte carlo method
- "稳定统计模型" 英文翻译 : stable static model
- "线性统计模型" 英文翻译 : linear statistical model
例句与用法
- In present methods of track - to - tack correlation , the false and lost track - to - track correlation have not been taken into account in the complex background with dense targets . so two kinds of methods are proposed to deal with this problem , one of which is the correlation algorithm based on fuzzy synthetic decision and d - s evidence theory , another is based on k - nearest neighbor ( k - nn ) principle and d - s evidence theory . the two methods combine the logic of fuzzy decision and strictness of statistical classification with intelligence of evidential theory successfully
目前的航迹关联方法在密集目标环境下,航迹错关联概率和漏关联概率较大,针对这一问题,本文利用d - s证据理论,提出了基于模糊综合决策的d - s航迹关联方法和基于k近领域的d - s航迹关联方法,两种方法成功地将模糊决策的逻辑性和统计模式分类的严密性与证据理论的智能特性相结合,仿真结果说明了两种方法的有效性和实用性。
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