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。
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.
以三层误差反向传播算法(简称BP算法)进行数据处理。
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.
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.
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.
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.
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.
在故障检测之前，需要利用样本集通过反向传播算法(即lmbp算法)来训练神经网络。
Before detecting the fault, the sample set is used to train the neural net work by LMBP algorithm.
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.
通过实验比较 ，径向基函数网络较反向传播算法网络更适合于肌电信号这类非线性系统建模。
Through comparing with BP networks performance, we found that RBF networks achieve better result in and are suitable for modeling a non-linear system such as EMG.
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.
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.
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.
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.
为了对环境质量进行综合评价，运用误差反向传播算法的人工神经网络方法建立了环境质量评价的B -P决策模型。
In order to evaluate environmental quality, this paper proposed the B-P decision model for environmental quality by using artificial neural network method.
利用神经网络的误差反向传播算法(BP算法)，结合告警、天气和工程设计几方面的数据资料建立了微波中继段告警分析预测模型。
By means of BP (error back propagation) artificial nerve network, with data from alarm, weather and engineering documents, microwave hop performance analysis and forecast model is established.
应用神经网络的误差反向传播算法(BP)和大量的实测数据样本训练出了能在线诊断四种加工状态的BP模型并成功地诊断了实际加工状态。
The BP algorithm of Artificial Neural Networks and lots of experimental samples were used in training the BP model which succeeded in diagnosing four kinds of operational status.
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.
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.
然后对本授导算法中的信号正向传播与误差反向传播两个过程，以及其中的信号值推演、误差值推演进行了分析和阐述。
Then the algorithm of the Tutoring positive signal propagation and error back-propagation of two processes, and in which the signal value deduction, deduction for error analysis and elaboration.
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.
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.
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