ID 原文 译文
55637 构造性能参数达到或接近最优的ZCZ序列偶集,成为研究的重点。 Structural performance parameters at or near optimal ZCZ sequence pair set, become the focus of research.
55638 提出多集合相互正交ZCZ序列偶集的构造方法,基于最佳序列偶和正交矩阵偶,构造多组相互正交的ZCZ序列偶集。 Proposed set mutually orthogonal ZCZ sequence pairs set construction method, based on the optimal sequence of accidentally and orthogonal matrix accidentally, construct multiple sets of mutually orthogonal ZCZ sequence pairs set.
55639 先对ZCZ序列偶进行移位操作,引入正交矩阵偶对其进行扩展,得出的序列偶集合相互正交性能参数达到或接近最佳。 To shift operation of ZCZ sequence pair, first introduces orthogonal matrix to extend, it is concluded that the sequence pair set at or near optimal performance parameters of orthogonal to each other.
55640 同已有方法相比较,所提方法构造集合数目更多,且放宽了序列偶中对序列长度的要求。 Compared with existing methods, the proposed method more construction set number, and eased the length of the sequence in the sequence I request.
55641 针对作战决策同步过程中的态势交互阶段研究不足问题,提出环境影响下作战态势交互路径选择模型及策略。 For combat decision-making in the process of synchronous interaction stage research question, combat situation interaction under the influence of environment proposed route choice model and strategy.
55642 首先,界定作战态势交互在作战组织结构中选择路径的有效范围,由此构建路径选择模型,并设计衡量路径调整影响的扰动因子;其次,通过对环境影响下作战态势交互路径选择过程的理论分析,提出3种选择策略和3种调整模式;最后,通过案例仿真验证了路径选择模型及其策略的有效性,并设计4个交互环节相继阻塞的情况以检验路径调整模式的可行性。 First, define the operational situation interaction in combat choose effective range of the path of the organizational structure, thus build path selection model, and designed to measure path adjustment effect of disturbance factor;Second, through to the combat environment under the influence of situational interaction path selection process of theoretical analysis, put forward three kinds of selection strategy and three adjustment mode;Finally, by case simulation to verify the effectiveness of the route choice model and strategy, and designed four interactive link successively blocking situation to test the feasibility of the path adjustment mode.
55643 针对以往基于约束的贝叶斯网络(Bayesian networks,BN)参数学习方法在处理先验知识时未考虑知识的不确定性这一缺陷,本文为专家知识附加一个表示不确定性的概率。 Based on constrained Bayesian network for ever (Bayesian networks, BN) parameter learning method in dealing with a prior knowledge not considering the uncertainty of knowledge this defect, this paper provide additional a expert knowledge says the probability of uncertainty.
55644 对所有约束,根据其存在与否生成一个组合,计算该组合的概率,并采用凸优化方法计算该组合条件下的参数估计结果。 For all constraints, according to its presence or absence of generating a combination, the combination of the probability calculation, and convex optimization method is used to compute the composite under the condition of parameter estimation results.
55645 同时,为加速问题求解,将每个具体的凸优化问题分解为一系列可并行求解的子问题。 At the same time, to accelerate the problem solving, each specific convex optimization problem is decomposed into a series of subproblems can be parallel to solve.
55646 在得到所有约束组合下的参数之后,依照概率加权思想得到参数估计的最终结果。 After get all constraints under the combination of parameters, according to the probability weighted thought for parameter estimation of the final result.