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说明：  自组织映射神经网络，直接就可以流畅的运行出仿真效果图处理。(The self-organizing mapping neural network can directly run smoothly to process the simulation renderings.)

对动态系统辨识理论做了概括性的介绍，包含了常用的非参数系统辨识方法和参数辨识方法，并将神经网络人工智能算法应用到复杂系统参数识别，适用于系统控制、参数识别与数据预测等领域的学习。传统方法与现在智能算法都配有实例，每个代码文件都有详细注释。(This paper gives a general introduction to the dynamic system identification theory, including commonly used non-parametric system identification methods and parameter identification methods, and applies neural network artificial intelligence algorithms to complex system parameter identification, which is suitable for system control, parameter identification and data prediction. Learning in other fields. Both traditional methods and current smart algorithms are equipped with examples, and each code file has detailed comments.)

两个基于ANSYS平台的谱分析例子的命令流(Two command streams based on ANSYS platform for spectrum analysis)

matlab连接安捷伦示波器，可以显示单个通道数据，自己设置采样点数，设置内存深度，可以通过改变循环达到长时间监控目的（数据传输有延时，用于捕捉信号时要延长监控时间）。(matlab Connect the agilent oscilloscope)

纳入了机械损伤和应变速率的断裂UMAT子程序，不能用于平面应力。(The fracture UMAT subroutine incorporating mechanical damage and strain rate can not be used for plane stress.)

对地面固定目标设计了一种仅依赖测距传感器的制导律，不再需要传统的视线角信号以及目标和无人机自身的定位信息，再将该制导律推广到对地面匀速和变速移动目标的跟踪制导。相比于现有制导律，本课题提出的制导律结构更为简洁，仅有一个设计参数，并且制导策略更为合理。仿真结果表明所提出的制导律能够实现无人机对地面固定目标的稳定跟踪。(A guidance law that only depends on the ranging sensor is designed for the ground fixed target. The traditional line-of-sight signal and the target and the positioning information of the UAV are no longer needed. The guidance law is extended to the uniform and variable speed moving target Tracking guidance. Compared with the existing guidance law, the guidance law structure proposed by this subject is more concise, with only one design parameter, and the guidance strategy is more reasonable. The simulation results show that the proposed guidance law can achieve stable tracking of UAV fixed targets on the ground.)

说明：  使用python语言实现复杂网络SIR和SIS模型编程(SIR AND SIS model with python language)

说明：  六边形蜂窝自动建模插件，能在abaqus中自动建立蜂窝模型(Hexagonal honeycomb automatic modeling plug-in)

说明：  利用BP神经网络实现对民族，古筝，摇滚，流行四类音乐的有效分类。matlab实现，提供数据和详细代码，有解释！(The BP neural network is used to realize the effective classification of four kinds of music: nationality, zither, rock and roll, and popular music. Matlab implementation, provide data and detailed code, there are explanations!)

机械动力学进行模态分析，频响应分析等动力学的分析(Modal analysis, frequency response analysis and other dynamic analysis of mechanical dynamics.)