要从客户端访问所有这些数据并进行处理或保存任何更改，在网络带宽和计算(用于数据序列化)方面将产生非常大的开销。

It would be very costly in terms of network bandwidth and computation (for data serialization) to access all this data from the client for processing and then persist any changes.

youdao

由于这些变量具有非线性时间序列数据，用人工神经网络(ANN)将使用反向传播算法作为学习算法。

Since these variables are characterized as nonlinearities time series data, Artificial Neural networks (ANN) will be employed using back propagation algorithm as learning algorithm.

youdao

其次，实验中测得了大量的混沌数据，在神经网络模型的启发下提出了一种新的符号序列去噪算法，应用该算法提高了测量精度。

Secondly, we have obtained plenty of chaotic data, and presented a new method derived from Neural Network theory to process the symbolic series, which improves the accuracy of measurement.

youdao