为此，把模糊推理算法看成是模糊集合到模糊集合的映射，选用海明距离作为两模糊集的距离。
Therefore, a fuzzy inference algorithm is viewed as a mapping from one fuzzy set to another, Hamming distance formula is used as the computing distance between the two fuzzy sets.
针对系统导航部分，设计了一种基于距离映射获取漫游路径的算法，并提出了相应的路径平滑技术。
This paper designs a algorithm to gam the roam path based on shining upon distance for the navigation part of the system, and develops a new technology for smoothing the navigation path.
将基于连续隐含Markov模型 语音 识别算法中占系统总运算量的50%以上的Mahalanobis 距离 计算，映射为硬件实现的 模块。
The mapped algorithm, called the Mahalanobis distance, handles about 50% of its computational load in the overall speech recognition algorithm using a continuous hidden Markov model(CHMM).
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