Three_phase_2015B

GA-PLS 工具箱 带有算法应用说明(Ga - pls toolbox with algorithm application instructions)

说明：  使用粒子群方法求函数的极值。里面一共两个.m文件，一个是函数表达式，一个是使用粒子群对这个函数表达式在有约束的条件下求极值的主函数(The extreme value of the function is obtained by using the particle swarm optimization method. There are two. M files, one is a function expression, and the other is the main function that USES the particle swarm to extremally evaluate this function expression under constrained conditions)

说明：  GPS/INS组合导航算法程序，对动态实验采集的GPS定位数据和IMU原始数据进行组合解算(GPS/INS combined navigation algorithm program, the GPS positioning data collected by dynamic experiment and the original IMU data were combined to solven)

R语言对数据进行Garch-t-Copula建模和Garch-Clayton-Copula建模(Garch-t-Copula modeling and Garch-Clayton-Copula modeling for data in R language)

这是一个用ASP编成的具有上传下载功能的网页程序,请将解压后的文件放到C Inetpub wwwroot目录下,然后从IE浏览器中输入localhost jixie则进入,其中在CAD CAM系统中有登陆和注册()

关于数学建模的论文模板，美赛必备Latex模板(A paper template on mathematical modeling)

ANSYS编写的二维粘弹性人工边界斜波入射，直接用就可以了(The two-dimensional viscoelastic artificial boundary oblique wave incident written by ANSYS can be used directly.)

说明：  在葡萄酒制造业中，对于葡萄酒的分类具有很大意义，因为这涉及到不同种类的葡萄酒的存放以及出售价格，采用神经网络做为分类器可以有效预测相关葡萄酒的种类，从UCI数据库中得到wine数据记录的是在意大利某一地区同一区域上三种不同品种的葡萄酒的化学成分分析，数据里含有178个样本分别属于三个类别(类别标签已给)，每个样本含有13个特征分量(化学成分)，将这178个样本70%做为训练样本，另30%做为测试样本，用训练样本对神经网络分类器进行训练，用得到的模型对测试样本的进行分类标签预测。(In the wine manufacturing industry, classification of wine is of great significance, because it involves the storage and selling price of different kinds of wine. Using neural network as classifier can effectively predict the types of related wine. The wine data recorded from UCI database is the chemical composition of three different kinds of wine in the same region of Italy According to the analysis, 178 samples in the data belong to three categories (the category label has been given). Each sample contains 13 characteristic components (chemical components). 70% of the 178 samples are used as training samples, and 30% are used as test samples. The training samples are used to train the neural network classifier, and the model is used to predict the classification label of the test samples.)

此代码的功能是：用列表显示系统正在运行的程序,用visual basic 编写完成,()

说明：  TensorFlow 不是一个严格的“神经网络”库。只要你可以将你的计算表示为一个数据流图，你就可以使用Tensorflow。你来构建图，描写驱动计算的内部循环。我们提供了有用的工具来帮助你组装“子图”（常用于神经网络）(Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging.)