这个复制的树是根树的从属挂载，所以根树中的挂载活动会传播到这个拷贝，但是不会反向传播。
The copied tree is made a slave of the root tree so that mount actions in the root tree are propagated to the copy but not the other way around.
在掌握了反向传播算法后，可以来看我们的识别源代码样本语言的难题。
With the back-propagation algorithm in hand, we can turn to our puzzle of identifying the language of source code samples.
这里每个从n接收输入的输出节点j都不同。关于反向传播算法的基本情况大致如此。
where j varies over all the output nodes that receive input from n. Moreover, the basic outline of a back-propagation algorithm runs like this.
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。
Since these variables are characterized as nonlinearities time series data, Artificial Neural networks (ANN) will be employed using back propagation algorithm as learning algorithm.
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。
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.
反向传播人工神经网络对正常肝和脂肪肝的识别率均为100%。
The accuracy rate of neural network was 100% both for normal liver and fatty liver.
方法：联合应用反向传播人工神经网络和吸光度减法技术。
Method: The artificial neural network of reverse transmission and absorbance subtraction technique were used.
利用误差反向传播的改进算法对样本数据进行训练，并用另外的一些样本数据验证模型的应用效果。
Using the improved error backward propagation, the model is trained with stylebook data and validated its effect by other stylebook data.
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。
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
为从无偏振混浊介质背向散射光确定散射光学参数，设计了倾斜入射的模拟光路以及用复合反向传播神经网络求解的方案。
To determine the optical parameters of turbid media with an unpolarized backscattering light an oblique incidence geometry with the compound bp neural network has been designed.
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.
这一训练方法被称之为hmm的反向传播训练方法。
This approach to the training of HMM is called back propagation training approach.
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。
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.
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。
Next, an Improved Back Propagation(IBP)algorithm is proposed, considering the drawbacks of the standard Back Propagation (BP) in the neural network theory.
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。
Based on error back propagation (BP) arithmetic, many improvements are put forward because of its disadvantages.
模型分别采用多元逐步回归方法和反向传播方法。
The model used multiple stepwise regression method and back propagation method independently.
针对化工中经常遇到的高度非线性问题，以塔板研究中的泄漏模型为例，采用人工神经网络中的BP(反向传播)算法进行处理。
High nonlinear problem which is often met in Chemical engineering, taking the study of tray leakage mode as example, is treated by adopted BP (back propagation) algorithm in artificial neural network.
学习算法为反向传播算法。
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。
The simple improved back propagation algorithm of the SNC is liable to real-time and on-line control.
最后利用反向传播(BP)神经网络进行纹理的分类识别。
The texture classification is completed with back propagation (BP) neural network.
反向传播(BP)算法常常用于神经网络的权值训练中，但是BP算法收敛慢。
Back propagation (BP) algorithm is often used for the weights training of neural network, but the convergence speed of BP algorithm is slow.
利用前向多层神经网络的反向传播算法，即BP算法。
In this paper, the back propagation algorithm of a multilayer feedforward neural network was defined as BP algorithm?
经过我选择了多层感知和标准的反向传播训练算法的研究。
After some research I have chosen a multilayer perceptron and standard back-propagation algorithm for training.
使用反向传播算法训练神经网络，确定这种映射关系；根据该映射关系由低分辨力图像估计高分辨力图像。
This mapping relation is determined by training neural network with a back-propagation algorithm, which is utilized to estimate images at finer resolution from coarser versions.
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。
With the implicit function relation, BP (Back Propagation) neural network can easily realize the mapping between input data and output data.
该文介绍了一种基于人工神经网络的软件失效预测模型，给出了基于反向传播算法的多层前向网络的网络结构。
This paper presents a kind of software faults prediction model based on artificial neural network and the structure of the feed-forward multi-layer network with backpropagation learning algorithm.
通过构造反向传播神经网络，对裂纹尖端的应力场进行模拟，进而实现对裂纹尖端应力场函数的逼近。
The stress field around the crack tip is simulated via the constructed Back-Propagation Neural Network (BPNN) whereby achieving the approximation of the stress field around the crack tip.
在标准反向传播神经网络算法的基础上，提出了一种改进的反向传播神经网络算法。
Based on the idea of standard back-propagation (BP) learning algorithm, an improved BP learning algorithm is presented.
在标准反向传播神经网络算法的基础上，提出了一种改进的反向传播神经网络算法。
Based on the idea of standard back-propagation (BP) learning algorithm, an improved BP learning algorithm is presented.
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