As far as system identification is concerned, the back-propagation network is used in the paper.
本文采用了反向传播网络进行系统辨识。
At last it introduces common classifier in pattern recognition, which includes Back-Propagation Network.
最后对模式识别中常见的分类方法做了的介绍。
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。
This paper introduces Neural net to the fields of air-materials demands analysis, and applies Back Propagation network to forecast.
本文将神经网络引入到航材需求分析领域中，应用误差反向传播网络建立模型进行预测，并对模型结果进行了分析。
The count propagation network (CPN) was taken as framework, combining an improved fuzzy control algorithm, to realize the fuzzy-neural control of fermentation process.
采用自组织计数传播网络（CPN）作为框架，结合改进的模糊控制算法，实现对发酵过程的模糊神经元控制。
Its learning rule is to use the steepest descent method, by back-propagation network to continuously adjust the weights and thresholds, so the network and the minimum sum of squared errors.
它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。
A multiple networks fusion structure is constructed by combining three multi layer forward propagation network that differ from the others in internal parameters such as the number of hidden …
应用三个多层前向网络（隐层神经元数、初始权值等取不同值） ，设计了基于分类确信度的多网络融合结构。
Based on the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
基于人工神经网络(ANN)理论，提出一种利用ANN来模拟信号传播延迟、载波相位、信号功率等参量的方法。
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。
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。
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。
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。
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。
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。
Hence, it is the plan's foundation to remodel the radio propagation model in the WCDMA network planning.
因此，在WCDMA的网络规划中，对无线电波的传播方式重新建模是其规划的基础。
The network will change the way of art propagation by mixing together with traditional media further.
网络将与传统媒介进一步融合，从而改变艺术传播的方式。
This paper is focused on a shunt active filter based on detection of harmonic voltage to attenuate harmonic propagation in a power distribution network and its installation site selection.
本文着重论述了基于电压检测的并联型有源滤波器在放射状配电网谐波抑制中的应用及其安装点的选择。
The fusion architecture of the modified fuzzy counter propagation neural network is workable.
改进的模糊对向传播网络融合结构是可行的。
The network media which constituted by computer, Internet and website is a media based on digital technology. It brings human's art propagation into a network propagation age.
由电脑、因特网、网站三部分构成的网络媒介是基于数字化技术的媒介，它将人类艺术的传播带入网络传播的时代。
A fuzzy counter propagation neural network (FCPN) based data fusion approach and a modified fuzzy counter propagation neural network (MFCPN) fusion architecture are proposed for target recognition.
针对数据融合和目标识别的特点，提出了基于模糊对向传播网络的融合目标识别方法和改进的模糊对向传播网络(MFCPN)融合结构。
In order to describe Internet worm propagation, a novel subsection model of network worm propagation was put forward.
为了更好地表达网络蠕虫传播情况，提出了一种新的蠕虫传播分段模型。
An outdoor propagation model based on ray tracking technology is presented to improve the practicability of ray tracking propagation model in wireless network planning.
针对射线跟踪技术在无线网络规划中实现的困难，提出了一种基于射线跟踪技术的室外传播模型。
In this paper, the evolving network of rumor propagation and its temporal dynamical characters are analyzed based on the new advance social network analysis theory.
本文依据社会网络拓扑结构及其传播动力学研究的新进展，研究了一定社会区域中流言传播的时空演化特性。
The model and learning algorithms of BP( Error Back Propagation)network, which is widely applied, is recommended, and RBF( Radial B asis Function)is simply recommended contrastively.
本文首先介绍了神经网络中应用最为成熟广泛的BP网络的模型及其学习算法，并简单对比介绍了RBF网络。
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。
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。
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