| 1. | Algorithm analysis of periodicity of relational matrix
关系矩阵的周期性算法分析 |
| 2. | Use the matrix to judge a transitive binary - relation
利用关系矩阵判断二元关系的传递性 |
| 3. | The fuzzy mathematics description for the multi - dimension vibration of string
维振动的模糊关系矩阵描述方法 |
| 4. | A improved cone - shaped model is given in order to improve the old cone - shaped model
摘要提出了一种融入方向关系矩阵模型思想的改进型锥形模型。 |
| 5. | The relation among all short - circuit current in each winding is described , and the rms value and peak value equation of short circuit current are concluded in this paper
本文从平衡变压器的工作原理入手，建立平衡变压器各绕组中电流之间的电流映射关系矩阵和矢量关系，推导平衡变压器短路电流有效值和峰值的计算公式。 |
| 6. | Then , using the reasoning matrix between the unit color and individual color of the polychromatic sets , the reasoning of the basic events of the fault was obtained , and the methods and processes of the reasoning were also presented
利用多色集合的统一颜色和个人颜色间的推理关系矩阵，实现对故障底事件的推理，并给出了推理的方法和步骤。 |
| 7. | Generally , traditional hough transformation is used to detect the line or some special curves in the image space , and navigation parameters can only be obtained indirectly by finding the corresponding position in the navigation coordinate through the anti - perspective matrix
传统的hough变换是在图像空间中检测直线或某种特定的曲线，然后在把直线通过透视投影关系矩阵映射到导航坐标系中间接地得出所需的导航参数。 |
| 8. | On the basis of the virtual work principles and nonlinear finite element theory , the author introduces a plausible method which analyzes the double nonlinear problem of structure by importing the elastic - plastic constitutive relationship matrix into geometric nonlinear fea equation
摘要从非线性有限元理论出发，基于虚功原理，阐述在几何非线性刚度方程有限元列式中引入非线性本构关系矩阵、合理考虑结构双重非线性问题的理论方法。 |
| 9. | To solve the problems arising in the process of determining the fuzzy relation matrix in fuzzy fault diagnosis , such as great difficulty , and failure to dynamically adapt to the changes of the equipment ' s running states , a method of reliability simulation based on fault tree is presented
摘要针对模糊故障诊断中传统模糊关系矩阵确定方法不能动态适应具体设备运行状态变化等缺点，提出了基于故障树的可幸性仿真方法，用于确定模糊关系矩阵。 |
| 10. | In the tracking module , a " relation matrix " was built to realize multiple objects recognition , and the parameters of objects could he predicted by using kalman filter for tracking , and then , locus could he obtained even when a dynamic occlusion occurred between two or more objects
在跟踪模块中，提出建立帧间目标“关系矩阵”实现多个运动目标匹配，并采用卡尔曼滤波器预测目标参数，在运动目标相互遮档的情况下，根据预测参数跟踪目标，获得目标轨迹。 |
