back-propagation neural networks 反向传播神经网络 ; 神经网络 ; 倒传递类神经网路 ; 倒传递网路
fast back propagation neural networks 快速bp网络
a back propagation neural networks 反向传播神经网络
multi-layer back propagation neural networks 多层前馈神经网络
back-propagation artificial neural Networks 反向传播人工神经网络
back propagation arificial neural networks 反向逆传播人工神经网络
Since these variables are characterized as nonlinearities time series data, Artificial Neural networks (ANN) will be employed using back propagation algorithm as learning algorithm.
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。
This paper deals with the structural health detection using measured frequency response functions (FRFs) as input data toa back propagation (BP) artificial neural networks (ANNs).
研究将实测结构频率响应函数作为反向传递人工神经网络的输入数据，用来进行结构健康检测。
There are a few training algorithms for parameter estimation of neural networks, in which Back Propagation(BP)algorithm is the typical algorithm for feed-forward multi-layer neural networks.
神经网络参数估计有许多训练算法，BP算法是前向多层神经网络的典型算法，但BP算法有时会陷入局部最小解。
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