神经网络

At last, by the simulation results and root-mean-square value, the traffic FIRTF neural networks learning and prediction owned on a better advantages, because that the traffic flow FIRTF and the adaptive algorithm combination integrated gda-BP networks, gdm-BP networks, gda-feedback-BP networks and gdm-feedback-BP networks of the four characteristics.

最后，通过交通流量时间序列数据进行了试验分析，说明交通流量FIRTF神经网络以及其于混沌机理的交通流量FIRTF自适应算法综合了gda-BP网络、gdm-BP网络、gda-feedback-BP网络和gdm-feedback-BP网络的特点，使得交通流量FIRTF神经网络在训练和预测的速度上占有很大的优势。

As the choice of Neural Network will directly affect the detection data, BP based system is constructed by error reversion algorithm to train itself. It is simper and faster than other type of system.

由于系统所采用的神经网络的类型将直接影响数据检测结果的准确性，而BP神经网络是以误差反向传播算法对网络进行训练，其结构简单、收敛速度快；RBF 神经网络以简单变量的参数组合为函数来实现，具有训练速度比较快、性能比较好的特点。

In chapter 3, prediction theory of time series is reviewed, then non-linear autoregressive model of time series-feedforward neural networks is presented, at the same time a new method-SVD is proposed to design the architecture of feedforward neural networks. By using a trained network with a sufficient number of hidden nodes, according to the distribution of singular values of hidden nodes outputs, we can decide the optimum number of hidden nodes, then the reduced network will be retrained.

第三章：先回顾了时间序列的预测理论，提出了时间序列的非线性自回归模型-前馈神经网络模型，并提出了一种设计前馈神经网络的新方法-奇异值分解法，初始网络结构足够大，网络训练后，对网络隐层节点输出所形成的矩阵作奇异值分解，根据奇异值分布情况，决定网络隐层节点的个数，优化后的网络重新开始训练。

Computer-simulation results related to the TNN model substantiate that the timing neural network could handle well the inverse-interpolation problems of one-to-one and multiple-to-one mappings. Keywords: neural networks, weights direct determination, inverse problems, timing neural network

基于前面提出的网络模型，本文进一步提出一种增加时序控制条件的神经网络，即时序神经网络模型，并给出理论推导和进行仿真验证，结果表明该时序神经网络能够成功解决一一映射及非一一映射反插值问题。

In this paper, we study in detail some basic properties of network state graphs such as the number of components of a network which is equal to the sum of the numbers of stable states and cyclic stable state, and the network state graphs of symmetrical and antisymmetrical discrete neural networks in a fully parallel mode.

在这篇文章里，比较详细地讨论了网络状态图的一些基本性质，诸如网络的分支数等于网络稳定吸引子与环吸引子数目之和对称离散神经网络、反对称离散神经网络在全并行运行条件下网络状态图的结构特征等。

The neural network model simulates the visual characteristics of the human visual system by axons delay pulse neural network in order to extract the moving target and anlyse the actual significance of pulse neuroid algorithm.

这里提出一种基于神经轴突延迟机制，利用脉冲神经元网络模型对运动目标进行检测与跟踪的算法，该神经网络模型是利用轴突延迟脉冲神经网络模拟人类的视觉特性，从而提取运动目标，并具体分析脉冲神经元网络算法的实际意义。

The process of establishing neural network is as follows: two-layer neuronic network configuration is selected, S-type active function is used, input parameter of network are selected for thickness, preheat temperature, heat input and sampling point, output parameter of network is selected for fracture toughness property CTOD, learning algorithm of network is used for back-propagation algorithm.

本文选择了2层神经元的神经网络结构，采用S型激活函数，将板厚、预热温度、线能量、取样位置作为神经网络的输入，将环焊接头的裂纹尖端张开位移CTOD值作为网络的输出，通过BP算法的网络学习，采用VC语言建立了X70管线钢环焊接头CTOD与环焊工艺之间的神经网络。

The paper probes the advantage of information fusion with the fuzzy neural network technique, constructs the two-level FNN. For the CIR problem, the structure and training algorithm of FNN are decided, the input and output of FNN are fuzzed and the algorithm is modified.

本文分析了利用模糊与神经网络集成技术进行信息融合的优越性并构建了二级模糊神经网络融合系统；针对煤岩界面识别的具体问题，确定了模糊神经网络的具体结构和训练算法；对于网络的输入、输出进行了模糊化处理并对算法进行了修正。

Based on the selection of similar structure, a method for predicting the rock drillability of wildcat well is proposed.

该方法首先应用已钻相似构造井的地震资料、测井资料以及岩心测试资料，建立岩石可钻性钻前预测遗传神经网络模型，然后将神经网络与遗传算法有机结合起来，以神经网络理论为基础，利用遗传算法优化隐含层神经元个数和网络连接权值，最后利用野猫井的地震资料进行岩石可钻性钻前预测。

In Chapter 2, the learning algorithm of the single-layer perceptron and its limitation are considered firstly.

前馈结构的神经网络是最重要的神经网络模型之一，本文系统地研究了前馈结构神经网络的能力，包括多层感知机和径向基函数网络两部份。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。