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最小二乘法数据处理软件，翻遍计算的程序，应用于各种优化算法(math caculateor)

汽车七自由度动力学模型的动力学分析和计算。并对其进行计算(The car seven degrees of freedom dynamic model )

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行朴素贝叶斯模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The naive Bayes model is trained with the original features and two normalization features respectively to compare the performance of the model.)

converts binary sequence to decimal sequence

用fortran语言编写的传统矩量法求解立方体的RCS的程序。(The fortran language prepared by the traditional method of moments for solving the cube RCS program.)

说明：  基于神经网络的数字预失真技术，即智能DPD(Digital Predistortion Technology Based on Neural Network)

ANSYS车桥耦合瞬态分析代码,实现车辆移动荷载加载(ANSYS-vehicle bridge coupled)

基于C环境下的最小二乘法的计算编程算法相当相当实用。(C based on the circumstances of the least squares algorithm for calculating the programming very well.)

基于混沌理论进行数据预测的程序，欢欢迎需要的朋友参考下载，并提出修改意见 (, Please feel welcome the reference to a friend download data to predict the process based on chaos theory, and suggest modifications)