An improved BP algorithm is used to identify formation characteristics.
引入了一种改进的BP算法，用于由测井资料识别地层特性。
This paper introduces an improved BP algorithm for estimating ore grade.
本文介绍了一种改进的BP算法，用它来进行矿石品位估值。
Based on conventional BP algorithm, a modified BP learning algorithm is proposed.
在传统的BP算法基础上，提出了一种改进的BP学习算法。
An improved BP algorithm has been proposed for realization of multi-target recognition.
为了实现对多目标的识别，提出了一种改进的BP算法。
A mixed NN model is constructed using BP algorithm improved with dynamic learning rate.
利用动态学习率改进BP算法，建立了混合神经网络模型。
An improved BP algorithm and a learning sample generation method based on statistics are performed.
提出了一种基于统计的学习样本生成方法，使样本生成问题规范化。
After discussing the standard BP algorithm and its flaw, the paper presents a modified BP algorithm.
在对BP网络基本算法及其存在问题讨论的基础上，提出了一种改进的BP算法。
Experimental results indicate that the fast BP algorithm in MATLAB toolbox has very high practical value.
实验结果表明，MATLAB工具箱中的快速BP算法具有很高的实用价值。
Considering the limitation of classical BP algorithm, modified BP algorithm is used to train the network.
考虑到经典BP算法的缺陷，采用改进BP算法对网络进行训练学习。
The new algorithm, compared to the BP algorithm, has the fast learning rate and good convergence properties.
该算法有效地改进了神经元网络的学习收敛速度，取得了比常规BP算法更好的收敛性能和学习速度。
The performance of standard BP algorithm and other ameliorated BP algorithm has been compared in experiments.
在实验中对标准BP算法和几种改进后的bp算法的性能做了比较。
This paper reviewed the basic principle of artificial neural network, BP algorithm and improved BP algorithm.
介绍了人工神经网络的理论基础、BP算法以及改进BP算法。
This method makes the nonlinear property of momentum term instead of the momentum term in improved BP algorithm.
这种方法将改进BP算法中的动量项由常量改换为一类关于常量的非线性函数。
To decrease the false alarm rate and improve hit rate of IDS, an improved BP algorithm was applied to an ID model.
为了降低入侵检测系统的误警率，提高检测率，在入侵检测模型中应用了一种改进BP算法。
This paper discusses backpropagation neural network model and BP algorithm to determine market response functions.
探讨了利用反向传播神经网络和BP算法确定市场响应函数的方法。
The momentum item and chaotic mapping was added into BP algorithm, and the initial value of the network was selected.
在BP算法中加入动量项和混沌映射，选择神经网络初值。
It is used modified BP algorithm to train ANN, and analyze topology of ANN and ways how to select its train parameters.
采用改进的BP算法来训练神经网络，并对网络的拓扑结构及其训练参数的选择进行了分析。
To synthesize the advantages of standard BP algorithm and "batch learning" BP algorithm, a new algorithm is put forword.
综合了标准BP算法与“批处理”BP算法的各自特点，提出了一种新的BP网络的学习算法。
The chaotic BP algorithm is applied to nonlinear system modeling to obtain the optimal approximation in the global sense.
将混沌BP算法应用于非线性系统建模，以求获得全局意义下的最优逼近。
An example of the algorithm's application in electric power system load forecasting is shown and compared with standard BP algorithm.
文中给出了这种算法在电力系统负荷预测中的实际应用，并与标准BP算法作了比较。
A bolt supporting parameter selection neural network construction has been developed, the software is programmed based on BP algorithm.
设计了预测回采巷道锚杆支护参数的神经网络结构，并根据BP算法编制了软件。
Training a multilayer neural net by BP algorithm is slow and it is difficult to choose the number of hidden units and layers in advance.
使用BP算法训练多层网络的速度很慢而且事先难于确定隐节点和隐层的适当数目。
The parameters of linear network are identified by recursive least square and weights and thresholds of MFNN are learned by BP algorithm.
线性网络部分的参数采用递推最小二乘法辨识，多层前向网络的权值和阈值采用BP算法学习。
This paper introduces basic theory and implementation of RD algorithm and BP algorithm, and improves BP algorithm through range interpolation.
本文介绍了RD算法和BP算法的原理及算法实现，并且利用距离向插值改进了BP算法。
BP algorithm has aptitude and auto-learning characters, so my paper choose BP neural net algorithm to set up mail classification and recognition model.
BP算法具有智能性和自学习性的特点，因此，本文提出采用BP神经网络来构造邮件分类识别器。
The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network.
基于混沌神经网络的供配电系统故障诊断，采用引入动量项和混沌映射的改进BP算法。
Then some defects such as slow convergence rate and getting into local minimum in BP algorithm are pointed out, and the root of the defects is presented.
分析了BP算法的基本原理，指出了BP算法具有收敛速度慢、易陷入局部极小点等缺陷以及这些缺陷产生的根源。
This paper describes a new method for rotor fault diagnosis of electric machinery drag system, artificial neural network, which is based on BP algorithm.
介绍了一种基于BP算法的神经网络在电机转子常见故障诊断中的应用。
This paper regards some history data as samples, and trains the weight of networks with BP algorithm, so as to close the realistic process of refining sugar.
用一组历史数据作为学习的样本，根据BP算法对网络的权值进行训练，以达到逼近实际煮糖过程的目的。
This paper regards some history data as samples, and trains the weight of networks with BP algorithm, so as to close the realistic process of refining sugar.
用一组历史数据作为学习的样本，根据BP算法对网络的权值进行训练，以达到逼近实际煮糖过程的目的。
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