Simulation tests were carried out with evaluation data given by experts from power supply enterprises in Baoding taken as training samples for BP neural network, and the results are good.
以保定市各县供电企业专家评价数据作为BP神经网络的训练样本，进行仿真试验，得到了满意的结果。
The stored data can be downloaded and analyzed for investigation purposes, training and simulation at any time.
存储的数据可以被下载和时间进行调查分析的目的，在任何培训和模拟。
Run the program and accomplish network training module and data simulation module, then can complete the forecast of geometrical figure of welding line, realize the optimization of welding parameters.
运行程序完成了网络训练模块和数据仿真模块，从而可以完成焊缝几何形状的预测，实现焊接参数的优化。
Using the method discussed above, the author analyses and gives the data model and the arithmetic model of the ZXJ10 Exchanger training simulation system integrated database-modeling technology.
并利用该方法，结合数据库建模技术分析和建立了ZXJ10程控机训练仿真系统的数据模型。
In the existing fire alarm system, create a BP neural network simulation model which is based on Wuhan Zhongshan Road Tunnel project, access to actual operation data as the training sample data,.
在现有的火灾报警系统上，以武汉中山路隧道项目为支撑，获取实际运行中的数据作为训练样本数据，建立一个BP神经网络模拟模型。
The intelligent simulation model of blast furnace cast steel stave based on correction factor of parameters obtained by training the samples of test data of cast steel stave.
通过训练冷却壁热态试验数据样本，得出了基于参数修正因子的高炉冷却壁的智能仿真模型。
The paper introduced design of a data collection system of simulation training for using self-rescuer based on radio frequency technology and introduced design of its software and hardware in details.
文章介绍了一种基于无线射频技术的自救器使用模拟培训数据采集系统的设计，详细介绍了该系统的软、硬件设计。
Simulation shows that if chosen the appropriate ANN structure and training data quantity, its ANN internal model self-tuning control can be realized and the results can be acceptable.
仿真研究表明，只要恰当地选择神经网络正、逆模型的结构和辨识数据的长度等参数，实现加热炉神经网络内模自校正控制的结果是令人满意的。
The training set data and test data were input into model for training and simulation;
将训练集数据和测试集数据先后输入网络模型进行学习训练和仿真测试；
The training set data and test data were input into model for training and simulation;
将训练集数据和测试集数据先后输入网络模型进行学习训练和仿真测试；
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