ID 原文 译文
50587 仿真结果表明，该算法能有效降低接入阻塞率及均衡切换次数。 The simulation results show that the proposed algorithm can effectively reduce the access model. next and balanced switching times.
50588 支持向量数据描述(support vector data description，SVDD)是一种具有单类数据描述能力的数据分类算法，因具有结构风险最小化的特性而受到广泛关注。 Support vector data description (support vector data description, the SVDD) is a data classification algorithm with single class data description ability, has the character of structure risk minimization by and attracted much attention.
50589 SVDD的参数优化是影响其分类效果的关键问题，本文通过引入样本点的密度信息，提出了以界外密度最小化为目标的参数优化函数， Parameter optimization of SVDD is the key problems affecting the classification effect, in this paper, by introducing the density of sample points information, is put forward to out the goal of minimizing parameter optimization function density,
50590 避免了漏检率的计算问题， avoid the problem of miss rate calculation,
50591 可充分利用训练数据的分布信息， can make full use of the distribution information of training data,
50592 提高数据描述能力， improve the ability of data description,
50593 降低错分率。 reduce the rate of wrong points.
50594 仿真实验和UCI标准数据库的对比验证表明，优化后的SVDD算法能够有效降低漏检率和错分率，提高算法性能。 Simulation results and the comparison of UCI standard database validation show that the optimized SVDD algorithm can effectively reduce miss rate and fault rate, improve the algorithm performance.
50595 基于影响空空导弹攻击区和杀伤概率两个作战效能指标的主要态势因素，构造视距内空战态势评估模型。 Based on impact probability of air-to-air missile attack area and kill two operational effectiveness indexes of main situational factors, structure visual model of the air combat situation assessment.
50596 首先对某型近程红外寻的空空导弹的攻击区及导弹杀伤概率与角度、速度等态势因素的相关性进行分析，明确角度、速度等态势因素对它们的影响关系; First find nearly Cheng Hong outside of a certain type of air-to-air missile attack area and missile kill probability, speed and Angle of situational factors such as correlation analysis, clear point of view, the influence of the situational factors such as the speed of their relationship;