Back propagation ( bp ) neural network and radial basis function ( rbf ) neural network have their own advantages respectively and their identification capabilities are little different 反向传播( bp )神经网络和径向基函数( rbf )神经网络各具特点，辨识能力稍有差别。
In order to satisfy the requirement of the given precision , the connection power of the networks is studied and adjusted using the baekpropagation training algorithm ( bp algorithm ) 采用误差反向传播算法( bp算法)对网络的连接权值进行学习和调整，以满足给定的精度要求。
Feedforward networks use back propagation algorithm to train a multi - layer network . after training , the multi - layer network can fit the function in the data space very well 前向网络利用反向传播算法训练多层网络，使训练后的网络较好地拟合样本空间中各点的函数值。
Training state of back propagation is explained according to turbine fault sample . then improved method of using layers classification diagnosis model is put forward 并以汽轮机故障样本为例，阐述了反向传播算法的训练情况，然后提出使用层次分类诊断模型等进一步的改进方法。
A three - tiered artificial neural network ( ann ) model with a feed - forward , back - propagation net - work structure was developed to forecast river flow in the manwan reservoir 摘要以云南省漫湾水电站历史径流状况为研究对象，运用三层前馈反向传播神经网络模型对径流进行中长期预报。
The back - propagation algorithm also rests on the idea of gradient descent , and so the only change in the analysis of weight modification concerns the difference between t and y 反向传播算法同样来源于梯度降落原理，在权系数调整分析中的唯一不同是涉及到t ( p , n )与y ( p , n )的差分。
In this article , we applied our improved circular back - propagation ( icbp ) network to single step and multi - steps time series prediction respectively 在本文中将我们改进的圆形反向传播网络模型( improvedcircularbackpropagation - - icbp )应用于时间序列预测，进行了单步和多步时间序列预测研究。
Furthermore , it is also found that , compared with the single - stage bp network , the two - stage bp network ( composed of two bp networks ) has high ability to identify gas species and quantify its concentration 另外，利用两个反向传播神经网络级联所形成的两级网络辨识气体的组份及其浓度的能力比单级反向传播神经网络高。
The system denotes knowledge with status space , manages repository and correlative database by use of dbms , and speculate mechanism makes use of backward promulgate algorithm of three layer artificial neural network 该系统采用状态空间知识表示方法，应用dbms管理知识库和相关数据库，推理机采用三层人工神经网络的反向传播算法。
In this article we use a bp neural network to classify the eddy current signal and its result is also presented , which indicate that artificial neural network has vast potential in eddy current signal processing 本文选用基于误差反向传播( bp )算法的神经网络对信号分类，并给出分类结果，表明了神经网络在涡流材质检测信号处理中应用的巨大潜力。
