ID 原文 译文
39796 针对脑机接口(Brain-Computer Interface，BCI)中脑电信号预处理、特征提取、分类识别等过程，提出一种基于多域特征的随机子空间集成方法实现运动想象脑电分类。 Aiming at the preprocessing feature extraction and classification recognition in BCI system, a method for EEG classification of motion imagery based on random subspaces ensemble learning of multi-domain features is proposed.
39797 该方法的基本思想是通过事件相关同步/事件相关去同步特性分析，提取出最佳时频段的多域特征作为特征向量，结合交叉验证自适应地选择特征随机子空间的集成规模，集成线性判别分析分类器实现脑电信号分类。 Based on the analysis on the ERD/ERS characteristics of motion imagery(MI) signals, the multi-domain features of best effective time and frequency bands are extracted as the feature vectors, and the scale of the random subspace ensemble with cross-validation is adaptively chosen, and the EEG classification is realized by using linear discriminant analysis(LDA) classifiers ensemble.
39798 实验结果表明，多域特征和随机子空间集成分类正确率可达90.71%、Kappa系数可达0.63，均优于BCI竞赛第一名成绩，从而证明了该算法在脑电分类中的有效性和实用性。 The test results show that the accuracy of the multi-domain features and random subspace ensemble can reach 90.71% and the Kappa coefficient can be 0.63, which are better than those of the first place in the competition, and thus prove the algorithm's effectiveness and progressiveness.
39799 效能是评估武器装备的重要指标，武器装备效能评估可以为武器装备规划论证、设计研制、作战运用等提供决策支持。 Effectiveness is an important indicator to evaluate the weapon and equipment, and can support the decision-making of the weapon and equipment planning, scheme examination, design, development and operational application, et al.
39800 随着数字线程、数字孪生在武器装备全寿命周期的应用，效能评估面临复杂作战场景评估、多源异构数据评估、昂贵仿真的评估优化、泛在评估、敏捷评估等一系列挑战。 With the application of digital thread and digital twin in the life cycle of weapon and equipment, effectiveness evaluation faces a series of challenges, including the complex operational scenario, complicated data scene, expensive simulation, pervasive and agile evaluation, et al.
39801 综述了效能评估相关概念、发展历程，分析了武器装备效能评估面临的问题； The related concepts of weapon and equipment effectiveness and the development process of effectiveness evaluation are summarized.The problems of effectiveness evaluation are discussed.
39802 进而给出了武器装备效能评估解决方案，总结了数字时代武器装备效能评估研究方向。 The solutions for the effectiveness evaluation of weapon and equipment are provided.The digital era research direction in the future is forecasted and summarized.
39803 采用仿真模拟评估方法进行体系作战效能评估包括配置想定、多次运行仿真系统和调用效能评估模型计算多个复杂步骤。 In the process of conventional WSoS(Weapon System of Systems) operational effectiveness evaluation, multiple complex steps including reconfiguring the scenario, rerunning the WSoS simulation system, and conducting effectiveness evaluation model calculations are taken.
39804 针对此流程复杂、耗时长的问题，提出一种基于深度学习回归思想的体系作战效能智能评估方法，引入基于进化策略的作战效能优化流程。 For the problems of conventional effectiveness evaluation method, such as the complex process and time-consuming, the intelligent evaluation method of WSoS combat effectiveness based on machine learning regression is proposed, and the optimization process of combat effectiveness based on evolutionary strategy is introduced.
39805 以全连接深度回归网络为预测模型，通过多个数据集的试验结果给出网络隐层数和样本量选择的指导原则。 Taking the full connection depth regression network as the prediction model, the guiding selection principles of network hidden layer number and sample size are given on the basis of the test results of multiple data sets.