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说明：  通过python语言实现，利用遗传算法求解二元函数最大值(Using Python language and genetic algorithm to solve the maximum of binary function)

腹板式渐开线直齿圆柱齿轮建模,利用ANSYS软件模拟，能很容易得到应力分布(Modeling of web type involute spur gear)

求解二维拉普拉斯方程的matlab程序的实现(Solving two-dimensional Laplace equation)

说明：  薄壁圆柱壳轴压屈曲非线性计算，采用模态缺陷作为初始缺陷(In the nonlinear calculation of thin-walled cylindrical shells under axial compression, modal defects are used as initial defects)

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.)

说明：  自适应（ self-adaptive）是指处理和分析过程中,根据处理数据的数据特征自动调整处理方法、处理顺序、处理参数、边界条件或约束条件,使其与所处理数据的统计分布特征、结构特征相适应,以取得最佳的处理效果(Self-adaptive refers to the automatic adjustment of processing methods, processing sequence, processing parameters, boundary conditions or constraints according to the data characteristics in the process of processing and analysis, so as to adapt them to the statistical distribution characteristics and structural features of the processed data, so as to achieve the best processing effect.)

MATLAB神经网络案例分析 BP神经网络的数据分类-语音特征信号分类(MATLAB BP Neural Network - Classification of Speech Characteristic Signals)

一个用于模拟声波在非线性介质中传播的matlab工具箱，可以用来进行超声相关的实验。(Realization of ultrasonic simulation)

单目标的脉冲雷达的回波信号处理，匹配滤波器，距离门重排(Echo signal processing of single target pulse radar, matched filter, range gate rearrangement)

Incoherent Scatter Radar model in Matlab. To calculate the theoretical spectra of radars.