Backpropagation algorithm

A Synthetically Backpropagation Algorithm

综合反向传播算法

An Excellent Quality Modification Of Backpropagation Algorithm And Its Application

误差反向传播算法的优质改进及其应用

Application of Backpropagation Algorithm in Composite Materials Development

BP算法在泡沫金属复合材料研制中的应用

Error backpropagation algorithm and separation of signal and noise

误差反向传播算法与信噪分离

Octane number and surface tension predictions by using robust backpropagation algorithm

稳健逆传播算法用于预测混合物辛烷值和表面张力

Research on Multilayer Feedforward Neural Networks & A Unitary Backpropagation Algorithm

多层前馈神经网络研究&单位BP算法

An Error Rate of Change-Based Adaptive Backpropagation Algorithm and Its Applications

基于误差变化率的自适应反向传播算法及其应用

A Synthetical Backpropagation Algorithm for Multilayered Forward Neural Networks

快速收敛全局最优的多层前向神经网络综合反向传播算法

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

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。

A New Backpropagation Algorithm with Optimization-based Architecture Revised Automatically

一种基于优化过程的结构自整定BP算法

The determination of trace elements in cerebral embolism patient serum by AAS method and analysis by backpropagation algorithm for neural network

脑栓塞患者血清中微量元素的AAS测定及人工神经网络分析

To eliminate the shortcoming of standard backpropagation algorithm , some modified BP algorithms in the MATLAB 's neural networks toolbox are given in the paper .

针对标准BP算法存在的缺陷，本文给出了基于MATLAB语言的BP神经网络几种改进的算法。

Based on analyzing the multilayer perceptron neural network , it induces the error backpropagation algorithm while taking the hyperboloid tangential function as nonlinear activation function .

在分析多层感知器神经网络的基础上，推导了双曲正切函数为激励函数的误差后向传播算法。

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 .

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。

Ln this paper , a feature extraction method of modulation line spectrum is studied at first , and then a novel adaptive genetic backpropagation algorithm is proposed for training neural network target classifier .

本文针对被动声呐目标识别，首先着重研究了调制线谱特征提取方法，然后为了训练神经网络目标分类器，本文将遗传算法和BP算法相结合，提出了一种新的自适应遗传BP算法。

A method to construct an AC fault dictionary for diagnosis of analog circuits is presented , which is based on the feed forward multilayer neural network ( FNN ) using backpropagation algorithm ( BP ) .

提出了一种采用BP算法的前向多层神经网络（FNN）实现模拟电路故障诊断交流字典的方法。

In order to overcome slow convergence rate of the standard BP algorithm , this paper presents an adaptive backpropagation algorithm which can update learning rate and birr factor automatically based on dynamical training error rate of change .

本文针对BP算法存在收敛速度慢的缺点，提出一种基于网络动态训练误差变化率自动校正学习步长和冲量因子的自适应反向传播算法。

It is proved that the proposed network with appropriate conditions can represent unknown input_output relationship of nonlinear systems . The dynamic backpropagation algorithm is employed to estimate the weights of both the feedforward and feedback connections in the networks .

证明了该网络模型在一定条件下能够逼近非线性系统的输入输出关系，提出了用于训练网络前向连接和反向连接权值的动态反向传播算法。

The main purpose of this paper is to consider the successive layers of a multilayer feedforward neural network as the stages of a pipeline and develop a parallel BP algorithm which is used to improve the efficiency of the error backpropagation algorithm on an MIMD computer .

作者把前馈多层神经网络的相继各层看做流水线的相继步骤，从而提出了一个在MIMD机器上实现的并行BP算法来提高误差反传递算法的效率。

Backpropagation Network Algorithm Tool of Model Identify in MATLAB

MATLAB中模式识别的反传网络算法工具

Multilayer neural network with adjustable parameters is applied in this method , and the backpropagation learning algorithm is improved .

同时采用了带有可调参数的多层神经网络，并对BP学习算法进行了改进。

Multi-layered perception neural networks with a backpropagation learning algorithm are considered in ANC of air-conditioner .

把后传播学习算法的多层感知神经网络用来对空调进行ANC。

This approach trains the output layer and the hidden layer separately , and improves an existing modified backpropagation training algorithm [ 28 ] .

这种算法是在文献中的算法基础上进行的改进，它对输出层和隐层分别进行训练。

This paper deals with the neural estimation of the weight of metallic hull for transport ships based on the multilayer feed forward neural network model trained by using the backpropagation learning algorithm .

本文建立应用反向传播学习算法的多层前馈神经网络模型，对运输船舶金属船体重量进行神经估算。

That standard backpropagation ( BP ) algorithm for training neural networks converges slowly is the main reason why it cannot be used widely in practical applications .

标准BP神经网络算法收敛速度慢是限制其广泛应用的主要原因。

A modified backpropagation ( MBP ) algorithm for neural network training is proposed by using variable backpropagation coefficients . It improves the convergent rate and promotes the applicability of BP models .

提出了一种反向传播改进算法MBP，能加快神经网络NN的收敛速度，增强反传算法的实用性。

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 ) .

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）。