| 1. | A heuristic optimization path - finding algorithm based on dijkstra algorithm
算法的启发式最优路径搜索算法 |
| 2. | A path - finding algorithm is implemented on wordnet to find semantics relations between two words
开发了一种路径搜索算法，借此可以在词对之间进行语义分析。 |
| 3. | In this case , the present proposed direction finding algorithms based on element level are no more suitable ; we can only but use methods at subarray level
在这种情况下,目前所提出的各种阵元级测向方法不再适用,必须采用子阵级方法。 |
| 4. | This article discusses the vehicular short - wave single - channel direction finding system and gives a new direction finding algorithm based on signal spectrum correlation , to improve the system ' s performance to when coping with single side band signals
文中针对车载短波单通道测向系统，提出了一种新的基于信号谱相关的测向算法，改善了系统对单边带信号的测向性能。 |
| 5. | Through the study in the data reduction , this paper presents a new reduction algorithm named horafa - svdm and an incremental algorithm of the heuristic optimal reduct finding algorithm of the frequencies function named horafa ? a
本文通过在数据约简方面的研究，提出了对利用属性频率函数的启发式约简算法的改进算法? ? horafa ? svdm算法，以及这个算法的增量版本? ? horafa ? ia算法。 |
| 6. | This direction finding algorithm may resolve uncorrelated monochromatic sources , but it assumes that all signal frequencies are distinct . it requires no a priori knowledge of the signals " frequencies , suffers no frequency - doa ambiguity , and pairs automatically the x - axis direction cosines with the y - axis direction cosines
该算法用单矢量水听器，在无需知道信号先验信息的条件下，可以实现对多个不相关信号的方位角估计，并且不受频率模糊度的影响，自动匹配x轴、 y轴的方向余弦。 |
| 7. | The detailed works are as follows : the finding patterns problems in the time - series data sequence are described , and a new trend logic expression method is introduced , and its algorithm and experiment result of algorithm are given ; time - scries data are disposed , and using the arctg . slope of line as the sample of pattern recognition , so ignoring the aberrance of pattern in the classified . in addition , a new time - series pattern finding algorithm based on higher - order neural network is put forward
同时给出了本文的具体的工作，主要是：对在时序数据序列中发现模式问题进行了描述，并介绍了一种新的趋势逻辑表示方法，给出了其算法及算法的实验结果；对时序数据进行处理，提出了利用线段的斜率反正切值作为模式识别的样本，从而在分类时忽略模式的畸变；另外，还提出了一个新的基于高阶神经网络的时序模式发现算法。 |
| 8. | According to the virtual endoscopy automatic navigation , using the two - distance field - based 3d center path finding algorithm to find the path , adopting the cylindrical approximation of tubular organs to replace the center path by several approximate cylinders , while using distance transformation that is substituted by euclidean distance to calculate the approximate cylinder ' s axis and radius , the algorithm can save much time
摘要针对虚拟内窥镜自动漫游技术，利用基于双距离场的三维中心路径提取算法进行路径提取，采用管状器官的圆柱状近似，将中心路径用多个近似的圆柱体代替，用距离变换代替欧式距离公式计算近似圆柱体的轴和半径，节省了大量的计算时间。 |
| 9. | Comparing with the other time - series pattern finding algorithm , this one has a few of innovations . firstly , improving time - series pattern finding algorithm from the classified accuracy . secondly , ignoring some aberrance of time - series pattern by the high - order neural network
同其他的时序模式发现算法相比较，具有几点创新： 1 )从分类精度的角度来改善时序模式发现算法； 2 )通过高阶神经网络，直接利用网络的特性忽略了时序模式的某些畸变； 3 )利用了分层方法，进一步改善分类精度。 |
| 10. | The array - based high resolution direction - finding ( df ) technique developed from the beam forming techniques and the spectrum estimation techniques is an important branch of the array signal processing techniques . its main objective is to improve the performance of direction finding algorithms and fasten computations . it is widely used in many fields , such as the radar , communication system
高分辨阵列信号处理角度估计技术是阵列信号处理中的一个重要分支,它是在波束形成技术和时域谱估计技术的基础上发展起来的新技术,其主要目的是研究提高角度估计性能和提高运算速度的各种算法,已经在雷达、通信等各方面得到了广泛的应用。 |
