| 1. | Artificial immune algorithm based on euclidean distance and king - crossover
基于欧氏距离和精英交叉的免疫算法研究 |
| 2. | A model based on euclidean distance for performance evaluation of camouflage equipment
一种基于欧氏距离的伪装器材性能评估模型 |
| 3. | A fast algorithm for complete euclidean distance transformation based on contour scanning
基于围线扫描的快速完全欧氏距离变换算法 |
| 4. | In mathematical models for biological pattern formation , maini p k , othmer h g eds . ,
邻近细胞间的距离就是它们在这个共同平面上的欧氏距离。 |
| 5. | To enhance the quality of clustering , ratiod distance is used in the place of classical euclid distance
为了提高聚类的质量，使用ratiod距离代替传统的欧氏距离进行聚类。 |
| 6. | Cluster analysis based on euclidean distance of morphological characters confirmed the traditional taxonomy system . 2
采用欧氏距离的聚类结果很好印证了传统的分类系统。 |
| 7. | Forty - five genotypic sweet corns were classified into two groups in euclid space based on the clustering of the plant regeneration of the embryos using the analysis of principle components
利用主成分坐标分析并在此基础上对不同基因型甜玉米的再生能力进行聚类，并按欧氏距离将45种不同基因型玉米划分为2个大组群。 |
| 8. | This algorithm uses improved euclidean distance as similar measurement , and then evaluates the similar distance between steam time series and feature time series in a batch mode using fast fourier transform
该算法利用改进的欧氏距离作为模式的相似度量方式，然后利用快速傅立叶变换，实现动态序列与各指定模式的批处理相似性计算。 |
| 9. | The clustering performance of sdfcm is researched ; the advantages of sdfcm compared with traditional methods , fcm and other artificial intelligent methods are pointed out . to sum up , the main creative results include : 1
综合上述研究内容，本文的主要创新点包括： l针对fcm采用欧氏距离造成的分类错误，提出了反映制造单元构建问题本质特征的距离函数。 |
| 10. | This paper probed into the application of euclidean distance formula to the quantitative comparative analysis in electric sounding water exploration and made computation and analysis for several sets of data , which yielded fairly satisfactory results
摘要探讨了欧氏距离公式在电测深找水定量对比分析中的应用，并对几组数据进行计算分析，获得了较佳效果。 |
