并讨论了反向传播算法及网络构造。
The BP algorithm and the network construction are also discussed.
学习算法为反向传播算法。
第二种模型是神经网络反向传播算法模型。
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.
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.
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?
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.
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.
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.
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.
应用反向传播神经网络，解决了单峰测量方式的级次模糊问题。
The order ambiguity problem of single peak tracing method is solved through the application of BP neural networks.
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.
利用反向传播算法对网络进行试探性训练研究，得到了最佳参数。
The experimental research on the networks have been made by backpropagation arithmetic and some optimal parameters are obtained.
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。
This paper discusses backpropagation neural network model and BP algorithm to determine market response functions.
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.
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.
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.
本文分析了一种动态补偿神经网络模型，模型的训练利用反向传播原理实现。
A neural network model with dynamical compensating capability is analyzed. During the training of this network model, we apply the principle of dynamic error back-propagation.
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.
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.
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.
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.
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.
提供了人工神经网络的一种算法-误差反向传播算法的数学推导方法及上机实现步骤。
This paper provided the deduction of an algorithm for artificial neural network - the error back-propagation learning algorithm and the procedure to carry it out on computer.
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.
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.
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.
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.
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.
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.
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