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ACCQPSO:一种改进的量子粒子群优化算法及其应用

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信息网络安全 2024年第4期24卷 574-586页

作者：孙隽丰李成海宋亚飞空军工程大学防空反导学院西安710051 中国人民解放军94994部队南京210000

针对量子粒子群优化算法前期易陷入局部极值点、后期寻优精度不高等问题,文章提出一种自适应交叉算子的混沌量子粒子群优化算法,并将其应用于BP神经网络超参数寻优。首先,利用Logistics映射初始种群为混沌序列进行最优解搜索,增强初始... 详细信息

针对量子粒子群优化算法前期易陷入局部极值点、后期寻优精度不高等问题,文章提出一种自适应交叉算子的混沌量子粒子群优化算法,并将其应用于BP神经网络超参数寻优。首先,利用Logistics映射初始种群为混沌序列进行最优解搜索,增强初始种群的随机性与遍历性,提高算法寻优能力;然后,通过纵向交叉操作进行种群中个体的信息交换,并引入自适应交叉概率公式,增加种群多样性,提高算法的寻优精度;最后,在实验中,一方面,选取8个函数在高低两个维度进行验证,同时进行Wilcoxon秩和检验分析以及消融实验,验证该算法相较其他算法的有效性;另一方面,通过算法优化BP神经网络应用到网络安全态势预测任务中,实验结果表明该算法收敛速度相较于对比算法有大幅度提升。

关键词：量子粒子群优化算法混沌映射交叉算子自适应调整策略 BP神经网络

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时序数据图像化:战术意图识别及可移植框架

通信学报 2024年第8期45卷 149-165页

作者：宋亚飞李乐民权文倪鹏王科空军工程大学防空反导学院陕西西安710051 复杂航空系统仿真重点实验室北京100076

通过将时序编码为图像,提出了一种结合曲线滤波技术和EfficientNetV2图像识别网络的鲁棒且可移植的战术意图识别框架。曲线滤波技术可以有效地减少大量时域特征、模型参数和训练时间的冗余,基于此,提出了一种改进的格拉姆角场方法将时... 详细信息

通过将时序编码为图像,提出了一种结合曲线滤波技术和EfficientNetV2图像识别网络的鲁棒且可移植的战术意图识别框架。曲线滤波技术可以有效地减少大量时域特征、模型参数和训练时间的冗余,基于此,提出了一种改进的格拉姆角场方法将时序编码为图像,提高了卷积神经网络的特征提取能力。EfficientNetV2网络能够有效地处理意图图像,并成为预训练模型,使得在不同系统之间进行迁移学习成为可能。实验结果表明,所提框架相对于机器学习及深度学习等方法提高了0.99%以上的准确率,具有更好的性能、可扩展性、鲁棒性和可迁移性。

关键词：时序编码意图识别图像分类曲线滤波格拉姆角场 EfficientNetV2

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传统机器学习模型的超参数优化技术评估

计算机科学 2024年第8期51卷 242-255页

作者：李海霞宋丹蕾孔佳宁宋亚飞常海艳北方自动控制技术研究所太原030006 西安交通大学数学与统计学院西安710049 空军工程大学防空反导学院西安710051

合理的超参数能够保证机器学习模型适应不同背景和不同任务。为了避免在模型超参数数量过多、搜索空间过大的情况下出现手动调节导致的效率低下问题,多种超参数优化技术已经被研发并运用到机器学习模型训练中。文中首先回顾了8种常见的... 详细信息

合理的超参数能够保证机器学习模型适应不同背景和不同任务。为了避免在模型超参数数量过多、搜索空间过大的情况下出现手动调节导致的效率低下问题,多种超参数优化技术已经被研发并运用到机器学习模型训练中。文中首先回顾了8种常见的超参数优化技术,即网格搜索、随机搜索、贝叶斯优化、Hyperband、BOHB、遗传算法、粒子群优化算法和协方差矩阵自适应进化策略,并从时间性能、最终结果、并行能力、可拓展性、稳健性和灵活性5个方面分析各类方法的优缺点。其次,将8种方法应用到LightGBM、XGBoost、随机森林和KNN这4种传统机器学习模型上,在4个基准数据集上完成了回归、二分类和多分类的实验,对各类方法进行了比较。最后总结了各类方法的优缺点,给出了不同方法的适用情景。

关键词：传统机器学习超参数优化贝叶斯优化多保真技术元启发式算法

Self-adaptive combination method for temporal evidence based on negotiation strategy

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Science China(Information Sciences) 2020年第11期63卷 56-68页

作者： yafei song Jingwei ZHU Lei LEI Xiaodan WANG College of Air and Missile Defense Air Force Engineering University Institute of High Technology Air Force Engineering University College of Information and Navigation Air Force Engineering University

In temporal information fusion, the information collected by sensors is obtained dynamically with the passage of time. Unlike the spatial information fusion, temporal fusion should be dynamic. Evidence theory has been applied to fuse temporal and spatial information; however, existing temporal fusion methods do not treat conflicting and non-conflicting evidence sources distinctively. Moreover, unlike spatial evidence sources, which are obtained simultaneously, temporal evidence sources cannot be evaluated simultaneously to obtain their degree of reliability. Thus, it is necessary to develop a method for temporal evidence *** this paper, a self-adaptive combination method for temporal evidence is proposed based on the negotiation strategy. In the proposed method, a set called an evidence set is constructed by the cumulative temporal fusion results of the previous moment, current moment, and future moment. The evidence set is evaluated as conflicting or non-conflicting according to the maximum power pignistic probability distance between each pair of evidence sources in the set. Then, temporal evidence sources are self-adaptively combined by different methods according to the degree of conflict. Numerical experiments were conducted to evaluate the performance of the proposed method. The results indicated that the proposed method is sufficiently effective and robust to support decision making.

关键词： information fusion evidence theory temporal fusion self-adaptive combination negotiation strategy

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李学勤先生与巴蜀文化研究

邯郸学院学报 2024年第1期34卷 78-84页

作者：宋亚飞陈民镇北京语言大学文学院北京100083

在李学勤先生众多的研究领域之中,巴蜀文化研究占据重要地位。他很早便介入三星堆文化的研究,对三星堆青铜器与商文化及长江中下游文化的关系、三星堆牙璋的来源等问题有持续探索。他注意结合考古发现,发掘古史传说中的合理因素。对于... 详细信息

在李学勤先生众多的研究领域之中,巴蜀文化研究占据重要地位。他很早便介入三星堆文化的研究,对三星堆青铜器与商文化及长江中下游文化的关系、三星堆牙璋的来源等问题有持续探索。他注意结合考古发现,发掘古史传说中的合理因素。对于两周时期巴蜀地区的青铜器与符号,李先生也有深入的思考。在研究方法上,李先生主张传世文献、出土文献、考古实物等材料并重,综合多种学科手段加以研究。在研究内容上,李先生主要围绕巴蜀地区与中原等地区的互动交流展开,注重阐释巴蜀文化在中华文明起源、发展进程中所扮演的角色。

关键词：李学勤巴蜀文化三星堆中华文明

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清华简《畏天用身》校读

国学学刊 2024年第1期 69-83+141页

作者：陈民镇宋亚飞北京语言大学首都国际文化研究基地、文学院

作为一篇新见的战国时代论说文，清华简《畏天用身》具有重要的思想史价值。整理者已经作了精善的考释，其他学者也就简文提出了一些有启发性的意见。在此基础上，本文试对简文作进一步的考释与解析。

关键词：清华简《畏天用身》校读

A surrogate model for uncertainty quantification and global sensitivity analysis of nonlinear large-scale dome structures

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Frontiers of Structural and Civil Engineering 2023年第12期17卷 1813-1829页

作者： Huidong ZHANG yafei song Xinqun ZHU Yaqiang ZHANG Hui WANG Yingjun GAO School of Civil Engineering Tianjin Chengjian UniversityTianjin 300384China Tianjin Key Laboratory of Civil Building Protection and Reinforcement Tianjin 300384China School of Civil and Environmental Engineering University of Technology SydneySydney NSW 2007Australia

Full-scale dome structures intrinsically have numerous sources of irreducible aleatoric uncertainties.A large-scale numerical simulation of the dome structure is required to quantify the effects of these sources on the dynamic performance of the structure using the finite element method(FEM).To reduce the heavy computational burden,a surrogate model of a dome structure was constructed to solve this *** dynamic global sensitivity of elastic and elastoplastic structures was analyzed in the uncertainty quantification framework using fully quantitative variance-and distribution-based methods through the surrogate *** model considered the predominant sources of uncertainty that have a significant influence on the performance of the dome *** effects of the variables on the structural performance indicators were quantified using the sensitivity index values of the different performance ***,the effects of the sample size and correlation function on the accuracy of the surrogate model as well as the effects of the surrogate accuracy and failure probability on the sensitivity index values are *** results show that surrogate modeling has high computational efficiency and acceptable accuracy in the uncertainty quantification of large-scale structures subjected to earthquakes in comparison to the conventional FEM.

关键词： large-scale dome structure surrogate model global sensitivity analysis uncertainty quantification structural performance

STABC-IR:An air target intention recognition method based on bidirectional gated recurrent unit and conditional random field with space-time attention mechanism

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Chinese Journal of Aeronautics 2023年第3期36卷 316-334页

作者： Siyuan WANG Gang WANG Qiang FU yafei song Jiayi LIU Sheng HE Air Defense and Antimissile School Air Force Engineering UniversityXi’an 710051China

The battlefield environment is changing rapidly,and fast and accurate identification of the tactical intention of enemy targets is an important condition for gaining a decision-making *** current Intention Recognition(IR)method for air targets has shortcomings in temporality,interpretability and back-and-forth dependency of *** address these problems,this paper designs a novel air target intention recognition method named STABC-IR,which is based on Bidirectional Gated Recurrent Unit(Bi GRU)and Conditional Random Field(CRF)with Space-Time Attention mechanism(STA).First,the problem of intention recognition of air targets is described and analyzed in ***,a temporal network based on Bi GRU is constructed to achieve the temporal ***,STA is proposed to focus on the key parts of the features and timing information to meet certain interpretability requirements while strengthening the timing ***,an intention transformation network based on CRF is proposed to solve the back-and-forth dependency and transformation problem by jointly modeling the tactical intention of the target at each *** experimental results show that the recognition accuracy of the jointly trained STABC-IR model can reach 95.7%,which is higher than other latest intention recognition ***-IR solves the problem of intention transformation for the first time and considers both temporality and interpretability,which is important for improving the tactical intention recognition capability and has reference value for the construction of command and control auxiliary decision-making system.

关键词： Bidirectional gated recurrent network Conditional random field Intention recognition Intention transformation Situation cognition Space-time attention mechanism

Multi-agent system application in accordance with game theory in bi-directional coordination network model

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Journal of Systems Engineering and Electronics 2020年第2期31卷 279-289页

作者： ZHANG Jie WANG Gang YUE Shaohua song yafei LIU Jiayi YAO Xiaoqiang College of Electronics and Information Engineering Air Force Engineering UniversityXi’an 710054China College of Air Missile Defense Air Force Engineering UniversityXi’an 710054China

The multi-agent system is the optimal solution to complex intelligent problems. In accordance with the game theory, the concept of loyalty is introduced to analyze the relationship between agents' individual income and global benefits and build the logical architecture of the multi-agent system. Besides, to verify the feasibility of the method, the cyclic neural network is optimized, the bi-directional coordination network is built as the training network for deep learning, and specific training scenes are simulated as the training background. After a certain number of training iterations, the model can learn simple strategies autonomously. Also,as the training time increases, the complexity of learning strategies rises gradually. Strategies such as obstacle avoidance, firepower distribution and collaborative cover are adopted to demonstrate the achievability of the model. The model is verified to be realizable by the examples of obstacle avoidance, fire distribution and cooperative cover. Under the same resource background, the model exhibits better convergence than other deep learning training networks, and it is not easy to fall into the local endless ***, the ability of the learning strategy is stronger than that of the training model based on rules, which is of great practical values.

关键词： loyalty game theory bi-directional coordination network multi-agent system learning strategy