Wavelet analysis, as a time frequency analysis tool, has been widely used in many fields of electric power system. To select and construct the best wavelet for user is of important significance.
小波分析作为时频分析工具已经越来越广泛地应用于电力系统的各个领域，如何选择和构造最适合用户需要的小波具有重要意义。
Aiming the square sum of error (SSE), we construct the algorithm to iterate and select an optimal parameter for optimizing the new models, which ADAPTS the model to time series more.
又以预测误差平方和SSE最小为目标，构造了优选并自动生成最佳平滑参数使平滑模型得以优化的最速下降算法，增强了指数平滑模型对时间序列的适应能力。
On the basis of separating the literal description and the data description, NN is applied to select the model type and es is applied to construct model structure.
在对文字描述和数据描述分离的基础上，应用专家系统实现模型类型的选择，应用神经网络实现模型结构的构造。
There are three steps to construct the hardware platform. First, select the motor and driver according to the parameter of mechanism.
在设计过程中，首先根据负载、惯量、速度等机械参数选择控制电机和配套的功率驱动器。
The system select W78LE516 MCU and CPLD to construct the control circuit and use quickly read and write low power consumption, low-voltage external data memory CF card to save the signal.
系统选w 78le516单片机和CPLD来构造控制电路，用读写速度快、功耗低的低电压外部数据存储器CF卡存储采集完的信号。
The system select W78LE516 MCU and CPLD to construct the control circuit and use quickly read and write low power consumption, low-voltage external data memory CF card to save the signal.
系统选w 78le516单片机和CPLD来构造控制电路，用读写速度快、功耗低的低电压外部数据存储器CF卡存储采集完的信号。
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