查询词典 BP

The feasibility of neural network application to asphalt concrete pavement performance forecast is set forth. Three main environmental factors-traffic, rainfall, temperature, which can lead to the direct change of pavement performance are used as the input layer of neural network. The performance indexes of asphaltum concrete pavement, i.e. dilapidation rate, smoothness, deflection, friction coefficient are used as output layer. The relation between environment factor and pavement performance is acquired by introducing the module of BP Neural Network in MATLAB.

阐述了应用BP神经网络进行沥青混凝土路面使用性能预测的可行性，以环境因素，即交通量、降雨量、温度等3个直接使路面性能发生变化的主要因素作为BP神经网络的输入层，以沥青混凝土路面的破损率、平整度、弯沉值、摩擦系数等4项性能指标作为输出层，采用MATLAB语言中的BP神经网络模块进行自学习，得出环境因素与路面使用性能之间的关系。

Three main environmental factors——traffic,rainfall,temperature,which can lead to the direct change of pavement performance are used as the input layer of neural network.The performance indexes of asphaltum concrete pavement,i.e.dilapidation rate,smoothness,deflection,friction coefficient are used as output layer.The relation between environment factor and pavement performance is acquired by introducing the module of BP Neural Network in MATLAB.

阐述了应用BP神经网络进行沥青混凝土路面使用性能预测的可行性，以环境因素，即交通量、降雨量、温度等3个直接使路面性能发生变化的主要因素作为BP神经网络的输入层，以沥青混凝土路面的破损率、平整度、弯沉值、摩擦系数等4项性能指标作为输出层，采用MATLAB语言中的BP神经网络模块进行自学习，得出环境因素与路面使用性能之间的关系。

An augmented matrix is therefore given, of which the number of dimensions is determined by adding the observed data for l time past together, and the forecast data after augmentation are taken as the input variables in BP neural network. Then, a forecasting model is developed on the basis of DPCA-BP neural network, with its architecture described.

通过计算前l时刻数据确定增广矩阵的维数，并把得到增广后的预测数据作为BP神经网络的输入变量，建立了基于DPCA-BP神经网络的预测模型，给出了模型结构。

The micro vehicle rear axle of car main gear box noise question became the worker matter of concern. In this paper, the micro vehicle rear axle of car main gear box noise performance present situation and the traditional assessment method are discussed, and the general BP neural network and the Levenberg-Marguardt algorithm are introduced in detail. Improves the BP neural network using the LM algorithm, at present is trains the neural network the quickest algorithm.

微车后桥主减速器噪声问题成为工作者所关注的问题，本文介绍了后桥主减速器噪声性能现状及传统评价方法，阐述了BP神经网络的一般算法，并详细介绍了Levenberg-Marguardt算法，利用LM算法来改进BP神经网络，目前是训练神经网络的最快算法。

In addition, we demonstrate the non-parametric performance of BP neural network by using Liapunov Central Limit Theorem, and give the structure and principle of BP neural network detector. Meanwhile, a set of computer simulation results are also given in the paper.

另外，我们还通过Liapunov中心极限定理证明了BP神经网络的非参数特性，并以此为依据提出了检测声呐信号的BP神经网络检测器的结构及原理，同时也提供了一系列计算机仿真实验的结果。

The comparison of different the segment results for color image of blood cell with BP neural and RGB threshold value method is given in this paper, and the conclusion that BP neural network is better than the RGB threshold is derived.

给出了对血液细胞彩色图像采用BP神经网络与RGB阈值等不同方法分割效果的比较，得出BP神经网络法优于RGB阈值法的结论。

The sequence analyzing revealed that a sequence with a total length of 861 bp including 842 bp nucleotides of ATPase8 ATPase6 gene and partial sequence of the mitochondria CO Ⅱ was cloned. The ATPase8 and ATPase6 genes of Columba livia were proved to have good homology(88.1%~75.0%) with the other 5 species of birds recorded in the GenBank and it has 88.1% and 86.5% homology with Streptopelia orientalis.

结果表明：克隆得到了家鸽ATPase8-ATPase6基因842 bp及COII的部分序列共861 bp，用DNA分析软件对家鸽ATPase8和ATPase6基因与Genbank中的5种鸟类的ATPase8和ATPase6基因序列进行比较分析，表明家鸽与其他5种鸟类的ATPase8和ATPase6基因具有较高的同源性(88.1%~75.0%)，其中与山斑鸡的同源性最高，分别为88.1%和86.5%。

Experimental result indicates, the optimized BP neural network's constringency speed is faster, and the problem that BP algorithm is easy to be trapped into local optimization has been solved.

试验结果表明，用遗传算法优化BP神经网络的连接权值后收敛速度快，并有效的解决了BP算法容易陷入局部最优的问题。

For the limitations of the traditional algorithms that can not be reasonably used to predict the traffic, this paper adopted the BP neural network and curvilinear regression coupling algorithms to add the inadequate.

摘 要：针对传统交通量预测方法中的局限性，采用BP神经网络与曲线回归耦合算法，用BP神经网络对历史数据训练，利用曲线回归对各因素待测年份之值进行预测，将各因素的预测值带入已训练好的BP神经网络中，即可得到未来交通量的预测值。

For two examples, result testifies that it is feasible to use in nonlinear restriction optimization. Chapter 3 is important part in the paper. Analyze and research BP network, concealed node number of network former frame newly. Give new supplement and advice about How to select study velocity and activation function in BP algorithm.

第3章是论文中最重要的一章，通过实例分析研究了BP网络，对网络模型结构的隐层节点数进行分析和新的探讨；对BP算法中的学习速率和激活函数的选取进行了新的补充和建议；对网络的拓扑结构进行了新的构造；对人工神经网络收敛依据提出了新的判断原则。

Since historical times,England ,where the early inhabitants were Celts, has been conquered three times .

从有历史以来，英国，在此地早期居住的是凯尔特人，已经被征服了三次。

Bluetooth OBEX File Transfer Enables the sending and receiving of files on your phone via Bluetooth.

蓝牙OBEX文件移动允许经过蓝牙传送和接受文件。。。。