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Cross-modal multi-label image classification modeling and recognition based on nonlinear 基于非线性的跨模态多标签图像分类建模与识别
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0194
Shuping Yuan, Yang Chen, Cheng Ye, Mohammed Wasim Bhatt, Mhalasakant Saradeshmukh, Md. Shamim Hossain
Abstract Recently, it has become a popular strategy in multi-label image recognition to predict those labels that co-occur in a picture. Previous work has concentrated on capturing label correlation but has neglected to correctly fuse picture features and label embeddings, which has a substantial influence on the model’s convergence efficiency and restricts future multi-label image recognition accuracy improvement. In order to better classify labeled training samples of corresponding categories in the field of image classification, a cross-modal multi-label image classification modeling and recognition method based on nonlinear is proposed. Multi-label classification models based on deep convolutional neural networks are constructed respectively. The visual classification model uses natural images and simple biomedical images with single labels to achieve heterogeneous transfer learning and homogeneous transfer learning, capturing the general features of the general field and the proprietary features of the biomedical field, while the text classification model uses the description text of simple biomedical images to achieve homogeneous transfer learning. The experimental results show that the multi-label classification model combining the two modes can obtain a hamming loss similar to the best performance of the evaluation task, and the macro average F1 value increases from 0.20 to 0.488, which is about 52.5% higher. The cross-modal multi-label image classification algorithm can better alleviate the problem of overfitting in most classes and has better cross-modal retrieval performance. In addition, the effectiveness and rationality of the two cross-modal mapping techniques are verified.
摘要近年来,对图像中共存的标签进行预测已成为多标签图像识别中的一种流行策略。以往的工作主要集中在捕获标签相关性,而忽略了正确融合图像特征和标签嵌入,这对模型的收敛效率有很大影响,并制约了未来多标签图像识别精度的提高。为了在图像分类领域更好地对相应类别的标记训练样本进行分类,提出了一种基于非线性的跨模态多标签图像分类建模与识别方法。分别构建了基于深度卷积神经网络的多标签分类模型。视觉分类模型使用自然图像和带有单一标签的简单生物医学图像实现异构迁移学习和同质迁移学习,捕获一般领域的一般特征和生物医学领域的专有特征,而文本分类模型使用简单生物医学图像的描述文本实现同质迁移学习。实验结果表明,结合两种模式的多标签分类模型可以获得与评价任务最佳性能相近的汉明损失,宏观平均F1值从0.20提高到0.488,提高了约52.5%。跨模态多标签图像分类算法可以较好地缓解大多数类的过拟合问题,具有较好的跨模态检索性能。此外,还验证了两种跨模态映射技术的有效性和合理性。
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引用次数: 1
Nonlinear bridge deflection monitoring and prediction system based on network communication 基于网络通信的非线性桥梁挠度监测预报系统
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0251
Y. Lei, Zhiqiang Li
Abstract In order to study the bridge deflection monitoring and prediction system based on network communication, first, the development status of the bridge deflection monitoring system, overall demand of the system, hardware composition of the system, realization of the system software, and the timely processing and analysis of monitoring data are discussed. Then, the dynamic prediction of the change trend of the external load and the decay information of the structural resistance contained in the deflection monitoring data is carried out, and the prediction function of the external effect of the structure is established at the same time. Finally, a rapid monitoring system specially designed to deal with accidental bridge disasters was developed, and it was installed and applied in the engineering experiment of Chongqing Gaojia Garden Bridge. The deflection data analysis of Gaojia Huayuan Bridge was carried out, and suggestions for the operation and maintenance of the bridge were put forward, and the safety status assessment of the bridge was realized. The results show that the system has strong practicability, real-time monitoring and accuracy. It provides a convenient and accurate way for bridge managers to supervise bridges and formulate specific bridge maintenance plans in a timely manner. During the radio frequency modulation of communication data, harmonic oscillations occur due to the nonlinear characteristics of oscillating data, so it is difficult to improve the wireless ability to modulate and demodulate transmitted data in communications. The traditional method uses neural network fuzzy control distribution estimation harmonic balance algorithm and nonlinear rolling. The performance of dynamic predictive control is poor in quality, harmonic balance, and stability control. An improved harmonic-based communication network is proposed to balance the stability control model of nonlinear communication system, construct nonlinear communication system model, and extract signal and channel characteristics of the communication system. The channel model is designed and the communication network control method is adopted to improve the control algorithm. The simulation results show that the proposed algorithm can be used to improve the stability of nonlinear communication system, reduce the bit error rate, overcome the interference of coherent component in sidelobe, and autocorrelated the impulse response of receiver. The stability of the cumulative output is good, which can overcome the communication error caused by the harmonic oscillation due to the nonlinear characteristics of the oscillating data, and improve the communication quality.
摘要为了研究基于网络通信的桥梁挠度监测与预测系统,首先对桥梁挠度监测系统的发展现状、系统的总体需求、系统的硬件组成、系统软件的实现以及监测数据的及时处理与分析进行了论述。然后,对挠度监测数据中包含的外荷载变化趋势和结构阻力衰减信息进行动态预测,同时建立结构外作用的预测函数。最后,开发了一套专门用于处理桥梁意外灾害的快速监测系统,并在重庆高家花园大桥工程试验中进行了安装和应用。对高家花园大桥进行了挠度数据分析,并对大桥的运行维护提出了建议,实现了大桥的安全状态评估。结果表明,该系统具有较强的实用性、实时性和准确性。为桥梁管理人员对桥梁进行监督,及时制定具体的桥梁养护计划提供了方便、准确的途径。在通信数据的射频调制过程中,由于振荡数据的非线性特性,会产生谐波振荡,因此难以提高通信中传输数据的无线调制解调能力。传统方法采用神经网络模糊控制、分布估计、谐波平衡算法和非线性滚动控制。动态预测控制在质量、谐波平衡和稳定性控制方面的性能较差。为了平衡非线性通信系统的稳定性控制模型,构建非线性通信系统模型,提取通信系统的信号和信道特性,提出了一种改进的基于谐波的通信网络。设计了信道模型,采用通信网络控制方法对控制算法进行了改进。仿真结果表明,该算法可以提高非线性通信系统的稳定性,降低误码率,克服旁瓣中相干分量的干扰,实现接收机脉冲响应的自相关。累积输出的稳定性好,可以克服由于振荡数据的非线性特性而引起的谐波振荡带来的通信误差,提高通信质量。
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引用次数: 0
Nonlinear remote monitoring system of manipulator based on network communication technology 基于网络通信技术的机械手非线性远程监控系统
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0246
Qing Liu, Liye Peng, K. Shang
Abstract In order to study the nonlinear remote monitoring system of the manipulator based on the network communication technology, a research method of the nonlinear remote monitoring system of the manipulator based on the network communication technology is proposed. In this article, in the Visual C++ environment, the transmission control protocol/internet protocol technology is used to build a remote monitoring system for the robotic arm, and it mainly realizes the function of the robotic arm running according to the trajectory in the remote. When storing video, you need to specify the ID of the video source, i.e., the synchronization source in the real-time transport protocol data packet header identifies the robot, which can monitor more clearly. The remote monitoring technology is widely used in the modern automation industry, which not only further extends the human space activity ability, but also removes the human from the dangerous and complex working environment. Therefore, the remote monitoring technology has broad application prospects.
摘要为了研究基于网络通信技术的机械手非线性远程监控系统,提出了一种基于网络通信技术的机械手非线性远程监控系统的研究方法。本文在Visual c++环境下,采用传输控制协议/互联网协议技术构建了机械臂远程监控系统,主要实现了机械臂在远程中按轨迹运行的功能。在存储视频时,需要指定视频源的ID,即实时传输协议数据包头中的同步源识别机器人,这样可以更清晰地监控。远程监控技术在现代自动化工业中的广泛应用,不仅进一步扩展了人类的空间活动能力,而且使人类从危险复杂的工作环境中解脱出来。因此,远程监控技术具有广阔的应用前景。
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引用次数: 0
Research on nonlinear tracking and evaluation of sports 3D vision action 运动三维视觉动作的非线性跟踪与评价研究
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0243
Mingzhi Li, Jucui Wang, Malik Jawarneh, Mohammed Wasim Bhatt, B. Omarov, R. Raffik
Abstract In order to effectively upgrade the training quality of the athlete, the study of the three-dimensional optical steps of sports, a three-dimensional optical action amplitude tracing process based on improved reverse kinematics is discussed. The method passes through a pinhole camera, the model calibrate the camera imaging plane, the positioning mark appears in the marker point in the apart neighboring single-sequence action amplitude and then the five-point perspective imaging of the same line is captured on the same straight line by the camera on different positions and postures. The matching method’s accuracy and superiority are demonstrated through experimental evaluation and compared with other similar measures. This characteristic is distinguished by the left and right image frames of the same camera. The translational movement is altered in 10–80 mm/s and the rotational movement is adjusted in 10–300 mm/s. During the confirmation, the spinning of the operational target, the longitudinal movement and the spatial location of the rotation point Measurement, the calculation variability of the stereoscopic visual moving calculation system, is given, and the method of tracking the method is high, which lay the foundation for the promotion of the training quality of the athlete. The experimental findings from simulation demonstrate that the implemented approach has great searching accuracy, establishing a solid platform for further improving the quality of athletes’ training.
摘要为了有效提升运动员的训练质量,对运动的三维光学步骤进行了研究,探讨了一种基于改进逆向运动学的三维光学动作幅度跟踪过程。该方法通过针孔摄像机,模型标定摄像机成像平面,定位标记出现在间隔相邻单序列动作幅度的标记点上,然后由摄像机在不同位置和姿态上在同一直线上捕获同一直线的五点透视成像。通过实验评价和与其他类似方法的比较,证明了该匹配方法的准确性和优越性。这一特性可以通过同一相机的左右图像帧来区分。平移运动以10 - 80mm /s的速度改变,旋转运动以10 - 300mm /s的速度调整。在确认过程中,给出了操作目标的旋转、纵向运动和旋转点的空间位置测量、立体视觉运动计算系统的计算变异性,并对方法进行了高度跟踪,为提高运动员的训练质量奠定了基础。仿真实验结果表明,所实现的方法具有较高的搜索精度,为进一步提高运动员训练质量奠定了坚实的平台。
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引用次数: 1
Safety decision analysis of collapse accident based on “accident tree–analytic hierarchy process” 基于“事故树-层次分析法”的坍塌事故安全决策分析
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0295
Xiaoyu Ren, Zhaoli Du, Jinrong Wang, Fen Yang, Tian Su, Weiqing Wei
Abstract To reduce the hazards of collapse accidents in the construction process and to ensure that the lives, health, and property of construction workers are protected, this study used the theory of safety system engineering to identify the hazards of collapse accidents, analyze the hazards, predict the consequences, evaluate the systemic risks, and evaluate the effects and improve them. At the same time, the risk factors of collapse were evaluated qualitatively and quantitatively by using the analysis methods of fault tree analysis (FTA) and the analytic hierarchy process (AHP). Finally, according to the evaluation results, the main factors causing collapse accidents were found; this provided a reliable and practical basis for the prevention of collapse accidents. Then, according to the decisive factors, corresponding measures were taken in advance to achieve the aim of preventing and controlling collapse accidents. The results show that equipment maintenance, material inspection, and construction site safety management play an important role in preventing collapse accidents.
摘要为了降低建筑施工过程中倒塌事故的危害,保障建筑施工人员的生命、健康和财产安全,本研究运用安全系统工程理论,对倒塌事故的危害进行识别、危害分析、后果预测、系统性风险评估,并对影响进行评价和改进。同时,采用故障树分析(FTA)和层次分析法(AHP)对倒塌危险因素进行定性和定量评价。最后,根据评价结果找出了导致坍塌事故的主要因素;这为防止塌方事故的发生提供了可靠和实用的依据。然后,根据影响坍塌事故的决定性因素,提前采取相应措施,达到预防和控制坍塌事故的目的。结果表明,设备维护、材料检验和施工现场安全管理在预防倒塌事故中发挥着重要作用。
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引用次数: 0
Simulations of fractional time-derivative against proportional time-delay for solving and investigating the generalized perturbed-KdV equation 分数阶时间导数对比例时滞的模拟,用于求解和研究广义摄动kdv方程
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0282
M. Alquran, Mohammed Ali, Kamel Al-khaled, G. Grossman
Abstract In this study, the Caputo-type fractional time-derivative is simulated by inserting a proportional time-delay into the field function of the perturbed-KdV equation. Two effective methods have been adapted to obtain analytical solutions for this model. Then, independently, the effect of the fractional derivative and the proportional delay on the topological shape of the pKdV propagation was extrapolated. The significant conclusions of the current article reveal that the fractional derivative plays the same role as the presence of a proportional delay in the time coordinate if it is assigned as a substitute for it. With this, from a practical mathematical point of view, we have provided one of the geometric explanations of the fractional derivative. Finally, via the obtained approximate solution, we studied the impact of the perturbed coefficient on propagating the waves of the proposed KdV model.
在本研究中,通过在扰动- kdv方程的场函数中插入比例时滞来模拟caputo型分数阶时间导数。采用了两种有效的方法来获得该模型的解析解。然后,分别外推分数阶导数和比例延迟对pKdV传播拓扑形状的影响。本文的重要结论表明,分数阶导数在时间坐标中扮演着与比例延迟相同的角色,如果它被指定为它的替代品。由此,从实用的数学观点出发,我们提供了分数阶导数的一种几何解释。最后,通过得到的近似解,我们研究了扰动系数对所提出的KdV模型的波传播的影响。
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引用次数: 0
Engineering fault intelligent monitoring system based on Internet of Things and GIS 基于物联网和GIS的工程故障智能监控系统
Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0322
Xiaoxing Su
Abstract The power grid (referred to as PG for convenience) structure is becoming increasingly complex. Aiming at the problem that it is difficult for traditional PG monitoring methods to accurately detect PG faults, an intelligent PG fault monitoring system is constructed using Internet of Things (IoT) and geographic information system (GIS) to improve the effectiveness of fault monitoring. The sensor equipment is used to collect the current information in the circuit, and the change of induced current is used to judge the cause of the fault, and the fault information is transmitted to the monitoring center through communication technology. The staff can directly locate the geographical location of the fault in the visual interface. One hundred overhead lines of Xianyang Power Supply Company are selected for analysis, and the performance of the traditional PG monitoring method and intelligent PG fault monitoring system is compared. The average fault detection accuracy of the traditional PG monitoring method and the system proposed in this article is 72.0 and 94.8%, respectively. The average fault location accuracy of the traditional PG monitoring method and this system is 80.8 and 96.5%, respectively. The intelligent monitoring system of PG fault based on IoT and GIS has high accuracy in PG fault detection and fault location, which can improve the effectiveness of fault monitoring.
摘要电网(为方便起见简称PG)结构日趋复杂。针对传统PG监测方法难以准确检测PG故障的问题,利用物联网(IoT)和地理信息系统(GIS)构建PG智能故障监测系统,提高故障监测的有效性。传感器设备用于采集电路中的电流信息,通过感应电流的变化来判断故障发生的原因,并通过通信技术将故障信息传输到监控中心。工作人员可以在可视化界面中直接定位故障的地理位置。选取咸阳供电公司100条架空线路进行分析,比较了传统PG监测方法和智能PG故障监测系统的性能。传统PG监测方法和本文提出的系统的平均故障检测准确率分别为72.0和94.8%。传统PG监测方法和本系统的平均故障定位精度分别为80.8%和96.5%。基于物联网和GIS的PG故障智能监控系统在PG故障检测和故障定位方面具有较高的准确性,可以提高故障监控的有效性。
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引用次数: 0
Analytical solutions of fractional couple stress fluid flow for an engineering problem 一个工程问题的分数对应力流体流动的解析解
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0281
R. Naz, M. Ikram, M. Asjad
Abstract In this article, analytical solutions of couple stress fluid flow modeled with a power law fractional differential operator are discussed. Stokes’ second problem for an incompressible couple stress fluid is studied for an horizontal plate of infinite length. The governing equations of the flow problem are expressed in terms of a partial differential operator and then converted into a non-dimensional model by using dimensional analysis. Then the integer order problem was formulated in terms of the non-integer order of three types of fractional derivatives and then solved with the help of the Laplace transform method. The obtained solutions are complex and expressed in terms of series. In order to check the memory index of the solutions obtained with three different fractional operators, we have plotted some graphs. It is found that the constant proportional operator provides us a better choice about the memory and maximum enhancement achieved in the comparison of Caputo and Caputo–Fabrizio. Furthermore, in order to check the accuracy of the present results, we have compared the obtained solutions with the existing literature and found a good agreement between them.
摘要本文讨论了用幂律分数阶微分算子模拟的耦合应力流体流动的解析解。研究了无限长水平平板上不可压缩耦合应力流体的Stokes第二问题。将流动问题的控制方程用偏微分算子表示,然后利用量纲分析将其转化为无因次模型。然后用三种分数阶导数的非整数阶来表示整数阶问题,并利用拉普拉斯变换方法进行求解。得到的解是复数的,用级数表示。为了检验用三种不同的分数算子得到的解的记忆指数,我们绘制了一些图。通过对Caputo和Caputo - fabrizio算法的比较,发现常数比例算子为我们提供了更好的内存选择和最大增强。此外,为了检验本文结果的准确性,我们将得到的解与现有文献进行了比较,发现它们之间有很好的一致性。
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引用次数: 0
Investigation of magnetized convection for second-grade nanofluids via Prabhakar differentiation 二级纳米流体磁化对流的Prabhakar微分研究
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0286
Qasim Ali, Samia Riaz, I. Q. Memon, Irfan Ali Chandio, Muhammad Amir, I. Sarris, K. A. Abro
Abstract The application of nanoparticles in the base fluids strongly influences the presentation of cooling as well as heating techniques. The nanoparticles improve thermal conductivity by fluctuating the heat characteristics in the base fluid. The expertise of nanoparticles in increasing heat transference has captivated several investigators to more evaluate the working fluid. This study disputes the investigation of convection flow for magnetohydrodynamics second-grade nanofluid with an infinite upright heated flat plate. The fractional model is obtained through Fourier law by exploiting Prabhakar fractional approach along with graphene oxide ( GO ) ({rm{GO}}) and molybdenum disulfide ( Mo S 2 ) ({rm{Mo}}{{rm{S}}}_{2}) nanoparticles and engine oil is considered as the base fluid. The equations are solved analytically via the Laplace approach. The temperature and momentum profiles show the dual behavior of the fractional parameters ( α , β , γ ) (alpha ,beta ,gamma ) at different times. The velocity increases as Grashof number {rm{Grashof; number}} increases and declines for greater values of magnetic parameter and Prandtl number. In the comparison of different numerical methods, the curves are overlapped, signifying that our attained results are authentic. The numerical investigation of governed profiles comparison shows that our obtained results in percentages of 0.2 0.2 ≤ temperature ≤ 4.36 4.36 and velocity 0.48 ≤ 7.53 0.48le 7.53 are better than those of Basit et al. The development in temperature and momentum profile, due to engine oil–GO is more progressive, than engine oil–MoS2.
纳米颗粒在基础流体中的应用对冷却和加热技术的表现产生了强烈的影响。纳米颗粒通过改变基液中的热特性来改善导热性。纳米颗粒在增加传热方面的专长吸引了一些研究人员对工作流体进行更多的评估。本研究对磁流体动力学二级纳米流体对流流动的研究提出了异议。采用Prabhakar分数法,以氧化石墨烯(GO){rm{GO}}和二硫化钼(Mo s2){rm{Mo}}{{rm{S}}}(_2){纳米颗粒为基液,利用傅里叶定律得到分数模型。用拉普拉斯方法对方程进行解析求解。温度和动量分布显示了分数参数(α, β, γ) (}alpha, beta, gamma)在不同时间的对偶行为。当{rm{Grashof; number}}磁参数和普朗特数较大时,速度随格拉霍夫数的增大而增大,随普朗特数的增大而减小。在不同数值方法的比较中,曲线是重叠的,说明我们得到的结果是真实的。控制剖面对比的数值研究表明,0.2 0.2≤温度≤4.36 4.36百分比和0.48≤7.53 0.48 le 7.53百分比的结果优于Basit等人的结果。与二硫化钼相比,氧化石墨烯对温度和动量分布的影响更大。
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引用次数: 3
Analysis of bridge vibration response for identification of bridge damage using BP neural network 基于BP神经网络的桥梁振动响应分析与损伤识别
IF 8.3 Q2 ENGINEERING, MECHANICAL Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0273
Rui Wu, Chong Zhang
Abstract In this article, the authors propose a method to identify the bridge damage using a backpropagation (BP) neural network. It uses bridge vibration response to solve the accuracy of bridge damage. A particle swarm optimization algorithm based on chaotic mutation is adopted to perform chaotic mutation operations and make the group jump out of the local optimum. CPSO (particle swarm optimization algorithm based on chaotic variation) algorithm can make up for the BP neural network model, easy to fall into the shortcomings of local optima, so the author will combine the two algorithms and discuss the environmental data of the bridge. Establishing a finite element model of the bridge through actual analysis, through data comparison, comparing the frequencies of the intact stages with the frequencies of the damaged stages, and verifying the neural network with random samples, for the degree of bridge damage, we get the root mean square error m s e mse and the correlation coefficient r. The result shows that the root mean square error m s e = 0.003196 mse=0.003196 , and the correlation coefficient r = 0.9654 r=0.9654 . There are only a few individual points; it seems that the relative error is relatively large. The rest of the fit is basically the same; it can meet the factors of vibration through the environment and perform damage identification for the structural damage monitoring of the bridge. Using the BP neural network model optimized by chaotic particle swarms, combined with the modal analysis of environmental vibration, it can be used in the monitoring of the health structure of the bridge, plays a certain recognition effect, and provides a new technical idea.
摘要本文提出了一种基于BP神经网络的桥梁损伤识别方法。利用桥梁振动响应来解决桥梁损伤的精度问题。采用基于混沌突变的粒子群优化算法进行混沌突变操作,使群体跳出局部最优。CPSO(基于混沌变异的粒子群优化算法)算法可以弥补BP神经网络模型容易陷入局部最优的缺点,因此笔者将两种算法结合起来,对桥梁的环境数据进行讨论。建立一个桥的有限元模型通过实际分析,通过数据的比较,比较完整的频率阶段和破坏阶段的频率,并与随机抽样验证神经网络,对桥梁损伤的程度,我们得到均方根误差m s e mse和相关系数r。结果表明,均方根误差m s e = 0.003196 mse = 0.003196,和相关系数r = 0.9654 r = 0.9654。只有几个单独的点;看来相对误差比较大。其余的贴合基本相同;它能通过环境满足振动因素,对桥梁结构损伤监测进行损伤识别。利用混沌粒子群优化的BP神经网络模型,结合环境振动的模态分析,可用于桥梁健康结构的监测,起到一定的识别效果,并提供了新的技术思路。
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引用次数: 0
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Nonlinear Engineering - Modeling and Application
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