误差反向传播算法

作为一种重要的前馈神经网络模型，反向传播（BackPropagation，BP）礻神经网络是一种按误差反向传播算法训练的多层前馈网络。

As one of the important feed-forward neural network models , BP ( Back-propagation ) neural network is a kind of multilayer feed forward network with the nature of error back propagation .

利用神经网络的误差反向传播算法（BP算法），结合告警、天气和工程设计几方面的数据资料建立了微波中继段告警分析预测模型。

By means of BP ( error back propagation ) artificial nerve network , with data from alarm , weather and engineering documents , microwave hop performance analysis and forecast model is established .

基于误差反向传播算法的OFDM系统频域均衡

Frequency-domain Equalization in OFDM System Based on the BP Algorithm

本文所提出的智能式距离保护方法综合了改进遗传算法（GA）和误差反向传播算法（BP）的优点。

The intelligent distance protection combines the advantages of the improved genetic algorithm ( GA ) and the error back-propagation algorithm ( BP ) .

应用神经网络的误差反向传播算法（BP）和大量的实测数据样本训练出了能在线诊断四种加工状态的BP模型并成功地诊断了实际加工状态。

The BP algorithm of Artificial Neural Networks and lots of experimental samples were used in training the BP model which succeeded in diagnosing four kinds of operational status .

目前，广泛运用于神经网络中的误差反向传播算法（BP算法）训练时间较长，且易陷入局部最优。

The popular back error propagation algorithm ( also called BP algorithm ) needs a long trai - ( ning-time ) and is easy to return a local optimized result .

BP神经网络是采用误差反向传播算法对网络权值进行训练的多层前向神经网络，以其优良的非线性逼近能力，获得广泛应用。

BP neural network is a feed forward neural network that is learned according to error backpropagation algorithm . BP neural network with excellent nonlinear approximation ability is widely applied to various fields .

介绍基于误差反向传播算法的多层感知（MLP）网络在说话者识别中的应用。

This paper introduces the application of BP algorithm based multilayer perceptrons in speaker verification .

遗传算法（GA）和误差反向传播算法的多层前馈网络（BPNN）都具有很强的寻优能力。

Genetic algorithm ( GA ) and Back Propagation neural network ( BPNN ) have a strong capacity of optimizing parameters .

该文在误差反向传播算法（BP算法）的基础上提出了一种新的训练算法，该算法对BP网络的传统动量法进行了修改，采用动态权值调整以减少训练时间。

This paper presents a new training algorithm based on error back propagation ( BP Algorithm ) . This algorithm modulates the traditional momentum BP by adopting dynamic adjusting weights for reducing the training time .

利用误差反向传播算法（BP）和径向基函数（RBF）神经网络法，分别对医用体内光纤温度传感器探头进行设计，训练神经网络的数据通过实验和插值得到。

BP and RBF neural network method has been used to design optical fiber temperature sensor probe using in medical treatment . Datum trained for neural network is gained from experiment and interpolation .

本文在简述影响GPS外业观测时间的因素和BP网络误差反向传播算法后，着重讲述了如何建立预测GPS外业观测时间的BP网络模型。

After briefly introducing the factors of the influence on the time of GPS survey and error back propagation algorithm , the paper emphatically expounds how to establish BP network model to forecast the shortest time of GPS survey .

在分析煤炭企业可持续发展评价方法的基础上，建立了煤炭企业可持续发展评价指标体系，构建了基于误差反向传播算法（BP算法）的多层前向神经网络模型。

Based on analyzing the existing methods for evaluation of sustainable development of coal enterprises , an evaluation index system was established . A neural network model with multi hierarchic structure was built based on error back propagation ( BP ) algorithm .

采用自适应遗传算法与误差反向传播算法（BP）相结合，建立一个通过图像监测物体重量的模型。

The adaptive genetic algorithm ( GA ) and back-propagation ( BP ) neural network are applied to forecast object weight by image database . A weight forecasting model is established . First , some characters are obtained from the object pictures .

该方法使用BP型神经网络，运用误差反向传播算法，把从电路中提取的有效特征信息作为样本对网络反复训练，从而实现用单故障对多故障进行诊断的目的。

The method uses the model of BP network and error back propagation algorithm , using the valuable information extracted from the circuit as the sample to study the model , to achieve the intention of fault diagnosis from the single-fault to multiple-fault .

为了对环境质量进行综合评价，运用误差反向传播算法的人工神经网络方法建立了环境质量评价的B-P决策模型。

In order to evaluate environmental quality , this paper proposed the B-P decision model for environmental quality by using artificial neural network method .

前馈神经网络NN误差反向传播算法（BP）收敛速度较慢且常陷入局部极优值等，针对此种缺陷提出了一种基于扩展Kalman滤波的快速学习新算法（EF）。

In view of the shortcomings of the backpropagation ( BP ) algorithm , such as slow convergence and frequent local-optimization deadlock , we propose a new quick-learning neural network algorithm based on extended Kalman filtering ( EF ) .

BP神经网络与BP学习算法理论比较成熟，而且基于误差反向传播算法的BP网络具有很强的非线性映射、泛化、容错等能力，实践证明BP网络可以解决很多实际问题。

The theory of BP neural network and BP learning algorithm are mature , and the BP network based on error back propagation algorithm has strong nonlinear mapping , generalization , fault-tolerant ability . The practice proved that BP network can solve a lot of practical problems .

本文采用误差反向传播算法训练网络模型，借助于自适应学习速率法和附加动量法，解决传统BP网络学习训练过程中收敛速度慢、易陷入局部极小的缺点。

In this research , error back-propagation algorithm was employed to train the predictive model with the aid of adaptive the learning rate method and the additional momentum , which could overcome the slower convergence rate and easily trapping in the partial small inadequate of the traditional BP network .

它是由多层神经元模型构成，每个神经元模型采用Sigmoid激励函数MLP网络模型最常使用的学习算法是误差反向传播算法（Back-Propagation，BP），因此又称BP神经网络。

It is composed by Multi-layer neuron cell models , and each neuron cell model uses the Sigmoid activation function . The learning algorithm of MLP network model commonly is back-propagation algorithm ( BP ), so it is known as BP neural network .

提出应用基于误差反向传播算法的多层前馈神经网络（BP-ANN）与特征提取相结合的校正方法，建立用近红外漫反射光谱快速无损测定发酵虫草中精氨酸、甘氨酸和总氨基酸含量的新方法。

Secondly , a new calibration method based on BP neural network and feature extraction is introduced to model the quantitative correlations between the NIRS and the contents of Glycine , Arginine and total amino acid in Cordyceps sinensis .

误差反向传播算法的优质改进及其应用

An Excellent Quality Modification Of Backpropagation Algorithm And Its Application

电力系统潮流误差反向传播算法

The back propagation algorithm in load flow of power system

误差反向传播算法的数学推导及实现步骤

Deduction of Error Back - propagation Algorithm and Procedure to Carry out

误差反向传播算法与信噪分离

Error backpropagation algorithm and separation of signal and noise

基于误差反向传播算法对图像进行压缩的工作已有很多。

There have been many techniques of image compression based upon back propagation arithmetic .

研究了误差反向传播算法的基本原理及其在信号识别与噪声消除中的应用。

This paper introduces the basic principles of error backpropagation algorithm and its application in signal recognition and noise elimination .

探讨误差反向传播算法的改进原则，并对不同的改进算法进行分析对比。

The improvement principle of Error Back Propagation algorithm isnidiscussed with different ameliorative algorithms being analyzed and compared in detail .

对非线性系统神经网络控制器提出了一种改进的误差反向传播算法。

An improved Backward Error Propagation Algorithm used as neural network controllers to control a nonlinear system is presented in this paper .

将均匀设计、改进遗传算法和误差反向传播算法相结合构成混合算法，并将其用于短期负荷预测。

The hybrid algorithm that combines uniform design , improved genetic algorithm and error back-propagagation algorithm is used to short-term load forecasting .