| 1. | Maximum likelihood doa estimator based on importance sampling
基于重要性抽样的最大似然方位估计方法 |
| 2. | Adaptive importance sampling algorithm for fuzzy - random failure probability
考虑基本变量模糊与随机性的广义自适应重要抽样法 |
| 3. | Estimating performance of block codes for both error detection and correction using importance sampling
线性拟等重码的检错性能 |
| 4. | Estimation on bers of digital fiber - optic communication links using importance sampling
用重要性抽样方法估计数字光纤通信链路的误码率 |
| 5. | Importance sampling in performance evaluation of long range dependence network traffic
基于重要事件采样仿真技术的长相关网络业务性能评价 |
| 6. | Making importance sampling method suitable for sensitivity analysis of reliability parameter sensitivity
基于重要抽样马尔可夫链模拟的可靠性参数灵敏度分析方法 |
| 7. | Importance sample method has the potential applied value in computer simulation of error control systems
重要性抽样方法在差错控制系统仿真中有潜在的应用价值。 |
| 8. | And then we bring forward an approach to get the probability of steady - state based on gauss - seidel method and dynamic row - column techniques for the application of simulation in safety " analysis , sampling techniques for sparse events are discussed , and importance sampling method is brought forward to increase sampling efficiency
论文提出了基于gauss - seidel方法与动态行列技术的分析方法。在仿真方面，主要探讨了安全性定量分析中稀有事件问题的抽样技术，并提出采用重要性抽样法，以提高抽样效率。 |
| 9. | In the structure and mechanism reliability analysis , the monte - carlo method , the importance sampling method and the extended importance sampling method which is presented in this paper are applied into the t russ structure , the box structure , the shaft structure and the flexible four - linkage mechanism
无人战斗机机体可靠性分析是对无人战斗机上的结构、机构(桁架结构、盒式结构、转轴结构以及四连杆机构等这些最基本的结构、机构型式)进行可靠性分析。分析时采用蒙特卡罗法、重要抽样法以及本文提出的扩展重要抽样法。 |
| 10. | This algorithm laid the foundations of other sampling inference algorithms , such as importance sampling algorithm and like - hood weight sampling algorithm . in this paper , the description of accurate and complexities of some kinds of sampling algorithms are presented on the basis of introduction to basic concepts of bayesian networks . first , the mathematical foundations of them are given here in view of statistics
本文首先介绍了bayesian网的一般概念及推理任务,并主要着眼于bayesian网推理算法的数学原理,提出了样本平均值算法,对几种推理算法从数学角度做出本质性的刻画,给出各自的复杂度和精确度的理论分析,证明了他们在各种情况下的推理效率。 |
