Using a sample checkout and reservation application model for lab computer systems, we start with the most simplistic code required to access application data from the database.
我们使用一个实验室计算机系统的签出和保留应用模型的示例，首先编写从数据库访问应用程序数据所需的最简单的代码。
The sample application described in this article will use the REST API to manage your virtual systems information with the data that is shown in Table 1.
本文介绍的样例应用程序使用REST API来管理您的虚拟系统信息—表1中显示的数据。
Since the forecasting performance of nonlinear systems is obvious, but the time needed to train the neural network to a large number of sample data as the basis.
由于非线性系统的预测性能很明显，但其训练神经网络的时候需要以大量的样本数据作为基础。
应用推荐