铝合金热塑性变形流动应力及其数学模型

采用恒应变速率凸轮式压缩试验机,测定了4种铝合金材料在热状态下的流动应力,分析了应变率、应变速率及变形温度对流动应力的影响规律,通过对多种结构型式流动应力数学模型的回归分析比较,确定了计算精度较高、结构型式较简单、适合于现场计算机在线控制和工程计算的数学模型。     

基于设备诊断的多目标马尔柯夫决策规划

从技术和经济两个方面综合考虑,用多目标马尔柯夫规划解决设备诊断与决策的连接问题,给出了一个数值仿真实例。     

存在不确定性干扰的生产计划——库存控制过程最优化

给出了在存在不确定性干扰的情况下,生产计划-库存控制过程最优化的动态提法.在此基础上提出了一个在线克服不确定性干扰寻求最优控制的实用算法.     

Study of structure-property relationship of semiconductor nanomaterials by off-axis electron holography

As the scaling down of semiconductor devices, it would be necessary to discover the structure-property relationship of semiconductor nanomaterials at nanometer scale. In this review, the quantitative characterization technique off-axis electron holography is introduced in details, followed by its applications in various semiconductor nanomaterials including group IV, compound and two-dimensional semiconductor nanostructures in static states as well as under various stimuli. The advantages and disadvantages of off-axis electron holography in material analysis are discussed, the challenges facing in-situ electron holographic study of semiconductor devices at working conditions are presented, and all the possible influencing factors need to be considered to achieve the final goal of fulfilling quantitative characterization of the structure-property relationship of semiconductor devices at their working conditions.     

基于并行局部特征金字塔的弱势道路使用者检测

针对现实环境中弱势道路使用者(Vulnerable Road Users,VRU)检测准确率低的问题,提出并行局部特征金字塔检测模型.该模型以SSD(Single Shot Multibox Detector)为基础,针对SSD中默认框过大不能涵盖小尺度VRU的问题,重新设计默认框来匹配更多尺度的VRU;使用两阶段回归...     

对本城模型的评价及发展

讨论了轧辊凸度对辊系变形及轧制压力的影响,并对本城原公式进行了修正和验证,证实了此修正公式在工程上的可用性。     

Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems

Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output (MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning control (ILC) scheme based on the zeroing neural networks (ZNNs) is proposed. First, the equivalent dynamic linearization data model is obtained by means of dynamic linearization technology, which exists theoretically in the iteration domain. Then, the iterative extended state observer (IESO) is developed to estimate the disturbance and the coupling between systems, and the decoupled dynamic linearization model is obtained for the purpose of controller synthesis. To solve the zero-seeking tracking problem with inherent tolerance of noise, an ILC based on noise-tolerant modified ZNN is proposed. The strict assumptions imposed on the initialization conditions of each iteration in the existing ILC methods can be absolutely removed with our method. In addition, theoretical analysis indicates that the modified ZNN can converge to the exact solution of the zero-seeking tracking problem. Finally, a generalized example and an application-oriented example are presented to verify the effectiveness and superiority of the proposed process.

     

An Information-Based Elite-Guided Evolutionary Algorithm for Multi-Objective Feature Selection

<正>Dear Editor, This letter is concerned with the evolution strategy for addressing multi-objective feature selection problems in classification. Previous methods suffer from limitations such as being trapped in local optima and lacking stability. To overcome them, we propose a novel eliteguided mechanism based on information theory. Firstly, an elite solution is generated through a dimension reduction strategy and incorporated to the initialization population. Then,     

扁锭热过程用二维有限长圆筒模型的模拟计算

建立了扁锭冷却、保温和加热过程的二维有限长圆筒模型。利用该模型可以进行扁锭整体传热的研究。模型计算结果和实测数据很吻合,这说明该模型是可靠的。