The learning algorithm is BP (Back Propagation) algorithm.
学习算法为反向传播算法。
Meanwhile, the back propagation learning algorithm is given based on BP.
文章还推导了基于BP的反传学习算法。
This approach to the training of HMM is called back propagation training approach.
这一训练方法被称之为hmm的反向传播训练方法。
The texture classification is completed with back propagation (BP) neural network.
最后利用反向传播(BP)神经网络进行纹理的分类识别。
There have been many techniques of image compression based upon back propagation arithmetic.
基于误差反向传播算法对图像进行压缩的工作已有很多。
The model used multiple stepwise regression method and back propagation method independently.
模型分别采用多元逐步回归方法和反向传播方法。
The mathematic frame of the neural network and error back propagation algorithm were introduced.
介绍了小波神经网络的数学框架及其误差反向学习算法。
The simple improved back propagation algorithm of the SNC is liable to real-time and on-line control.
单神经元控制器(snc)结构简单，改进的反向传播算法适合实时在线控制。
Chapter two describes the basic knowledge of ANN and BP (Error Back Propagation), and how to use in MATLAB.
第二章介绍了神经网络和BP网络的基础知识，及在MATLAB中的应用方法。
Based on error back propagation (BP) arithmetic, many improvements are put forward because of its disadvantages.
在误差反向传播(BP)算法的基础上，针对其不足提出了多种改进算法。
Objective To study the synthetic process of sodium percarbonate using Back Propagation Artificial Neural Network (BP-ANNS).
目的用前馈(BP)神经网络对过碳酸钠合成工艺进行研究，筛选新的复合稳定剂。
The case study of a high bypass ratio turbofan engine has verified the feasibility of a three-layer back propagation network.
通过一个高涵道比涡扇发动机故障诊断的实例分析，验证了三层逆传播网络的可行性。
Data of ultimate shear stress of hyper concentration flow are trained several times by Back Propagation (BP) neural network method.
应用误差逆传播（BP）神经网络方法，对高含沙流体极限剪应力进行了多次训练。
With the implicit function relation, BP (Back Propagation) neural network can easily realize the mapping between input data and output data.
通过找出其隐式函数关系，误差反向传播神经网络可以实现输入和输出间的任意映射。
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
以人工神经网络的前馈型网络为基础结构，基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
The essence of back propagation networks is that make the change of weights become little by gradient descent method and finally attain the minimal error.
其实质是采用梯度下降法使权值的改变总是朝着误差变小的方向改进，最终达到最小误差。
Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.
接着，作者对神经网络理论中的标准反向传播算法BP作了改进并提出了IBP算法。
Objective To study the application of back propagation artificial neural network model in prediction for incidence of hemorrhagic fever with renal syndrome.
目的探讨反馈人工神经网络模型预测肾综合征出血热发病率的应用前景。
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
This article introduces a predictive model of Artificial Neural network of red tide biology density and environment factors by use of the back propagation (BP) network.
本文利用人工神经网络中的BP网络，建立赤潮生物密度与环境因子的人工神经网络的预报模型。
Based on the BP (back propagation) model for excitation characteristics of transformer, a modified BP model is presented and the corresponding algorithm is also deduced.
在变压器励磁特性的BP模型基础上，提出了一种修正的BP模型，并推导了相应的算法。
Finally, several example simulations are made to compare our algorithms with traditional error back propagation, simple weight decay, and relative methods in other paper.
最后通过大量实例仿真将它们与纯误差驱动的方法、权退化法、其它文献中的相关方法进行了比较。
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。
Numerical results show that the recurrent back propagation control neural network controller has good effectiveness for various kinds of reference speeds of the ultrasonic motor.
模拟实验结果表明，递归反向传播控制神经网络对多种形式的超声马达参考速度都有很好的控制效果。
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。
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。
The I/O relationship of back propagation algorithm (BP algorithm) for Feed-Forward Multi-layered Neural Network is a mapping relationship, which can resolve the above nonlinear problem.
多层前向神经网络的误差逆传播算法（简称BP算法）的输入输出关系实际上是一种映射关系，适于解决上述非线性映射问题。
For comparing and analyzing the influence of attenuation relationship, the attenuation relationship of earthquake intensity created by the error back propagation approach was adopted in mapping.
为了对比分析衰减关系的影响，编图中也采用了借助误差向后传播算法建立的地震烈度衰减关系。
For comparing and analyzing the influence of attenuation relationship, the attenuation relationship of earthquake intensity created by the error back propagation approach was adopted in mapping.
为了对比分析衰减关系的影响，编图中也采用了借助误差向后传播算法建立的地震烈度衰减关系。
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