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BP back propagation network BP反向传播网络
The trend part of the data can be fitted with BP back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model. 采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
In this paper,the self-adapting noise elimination system based on back propagation network(BP) is presented and its the-ory and realization are analyzed. 介绍了BP自适应噪声抵消系统模型,分析了其原理及实现,并将其应用于发动机故障信号的处理。
Taking the evaluation criterion of lake nutrient states as sample pattern, the network was trained in the light of learning rule of Error Back Propagation network. 将湖泊营养状态评价标准作为样本模式提供给网络，按照误差逆传播网络的学习规则对网络进行训练，经过39925次学习后，网络达到预先给定的收敛标准。
In allusion to the defect of grads descension of traditional back propagation network algorithms, some improving measures such as adaptive learning and additive momentum has been taken, and better application result is acquired. 针对基于梯度下降法的BP网络存在的学习效率低、收敛速度慢、易陷于局部极小状态、网络的泛化及适应能力较差等缺陷,采用了附加动量法及自适应学习率、合理选择激励函数等策略对算法中的缺陷给出了改进措施,取得了较好的应用效果。
standard back propagation network 标准反向传播网络
The back propagation (BP) neural network model of 5-degree of freedom (DOF) upper limb rehabilitant robot was built. 摘要建立了5自由度上肢康复机器人的BP神经网络控制模型。
The back propagation(BP) neural network model of 5-degree of freedom(DOF) upper limb rehabilitant robot was built. 建立了5自由度上肢康复机器人的BP神经网络控制模型。
BP (Back Propagation) neural network models are applied to the nonlinearity compensation of sensors in this paper. 讨论了BP神经网络模型在传感器非线性补偿中的应用。
In this paper,the back propagation algorithm of a multilayer feedforw ard neural network was defined as BP algorithm? 利用前向多层神经网络的反向传播算法,即BP算法。
Based on empirical mode decomposition (EMD) and back propagation (BP) neural network, a new method is proposed to identify flow pattern of oil-gas two-phase flow. 基于经验模态分解(empirical mode decomposition,EMD)和BP神经网络,提出了油气两相流流型辨识的新方法。
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。
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。
Back Propagation(BP) neural network can be used to forecast Gyroscopic drift.But BP algorithm inclines to fall into local extremum and its training speed is very slow. 作为导航系统核心的惯性器件,陀螺仪在整个导航系统中起着十分重要的作用。
CPU of operating computer: Intel Celeron 466MHz. operating system: Microsoft Windows98. network algorithm: Back Propagation (BP). transfer function: sigmoid function. The allowed practical corrigendum is 0.1. 运行计算机中央处理器：英特尔赛杨466MHz.;操作系统：微软公司视窗98
Based on gradient descent rule, the BP( Back Propagation) algorithm is a local optimization algorithm. bp算法基于梯度下降原理，是一种局部寻优算法。
Through applying an improved BP(back propagation) algorithm to city consume,a BP model is built. 针对城市消费预测问题;应用一种改进的BP算法;建立了相应的BP网络模型;并设计了基于BP神经网络的城市消费预测系统.
The author puts forward an outline on evaluation of the storehouses and takes back propagation(BP) modes as an example. 提出了评价的基本思路,构建了评价的反向误差传播(BP)模型。
Aiming at the problems in pattern recognition of cold steel strip surface defect images, the methods of fuzzy pattern recognition and Back Propagation (BP) neural network recognition were introduced. 摘要针对冷轧带钢表面缺陷图像模式识别中出现的问题，引入模糊模式识别和反向传播神经网络识别方法。
According to SAR imaging feature to ships,a method using back propagation(BP)neural network to detect shipson SAR image is put forward on the basis of summarizing the existing ship detection methods. 在总结已有的舰船检测方法的基础之上，根据舰船目标在SAR图像中的成像特点，提出了利用BP神经网络实现SAR水面舰船目标识别实验。