网络函数

The operating principles of the monolayer neural network, Adeline network and B-P network in the system identification are introduced in this paper.

主要研究了单层神经网络、Adaline网络及B-P网络用于系统辨识中的工作原理，提出了把B-P网络权值转换为传递函数的方法。

In the research process, we account for capacity expansion problem of network with set-up cost in the restrained condition, creatively gain the algorithm of solving the smallest cost arborescence where the network cost is cost function which include capacity parameter.

在研究过程中，解决了约束条件含有固有费用的网络扩充问题，创造性地得到了网络费用为以网络容量为参数的费用函数时，求网络最小费用树形图的算法。

The mutiple-input mutiput-output logic function of vertex in state transition graph represents output of related state and the single output logic function represents state transition condition; we use a 8-tuple NetList to represent the structure implement of the result of controller synthesis.

状态转换图顶点中的多输入多输出逻辑函数表示对应状态的输出，图中边上的单输出逻辑函数表示状态转移条件；用一个八元组NetList表示控制器综合结果的结构实现，八元组包括输入符号，输出符号，状态存储器的输入，输出网络，状态转换网络，状态存储器，状态存储器的输出和状态存储器的初始输出。

First, the Lyapunov functional and variation of constants method are adopted to study the effect that Sigmoid function and the relation of resistance, capacitance and current in Hopfield neural networks have on the stability of networks. The stability criterion constructed by physics parameters is obtained. Thus how the constrained relation of physics parameters affects the stability of Hopfielf neural networks is clear. Based on the study above, the perturbation model of recurrent neural networks is constructed. And the theorems of the existence of solution of perturbation model are presented.

首先，采用Lyapunov泛函法和常数变易法研究Hopfield神经网络中给出的电阻、电容、电流之间的关系以及Sigmoid函数对网络稳定性的影响规律，得出仅由物理模型参数构成的稳定性判据，从而弄清物理模型参数约束关系对Hopfield神经网络稳定性所起的作用，在此基础上，构建了递归神经网络的扰动模型，并通过讨论扰动模型解的存在性问题，给出递归神经网络扰动模型解的存在性定理。

In addition, The proposed approach is compared with the recognition approach based on he vector power spectrum and radial basis function network. The experiment result shows that the proposed approach is very effective, especially in the small samples.

同时，该方法还与基于矢功率谱的径向基函数网络识别结果进行了比较，实验结果表明，该方法是有效的，尤其在小样本情况下，SVM识别效果明显优于径向基函数网络。

And we used them into the inspection of these polluted gases. We used them because the constringent speed of wavelet neural network is very fast, they are not sensitive to the inputs of the network and they have the characteristic that they also can effectively approach the functions or signals. Classical neural networks mostly train the network with back propagation algorithm.

在目前常用的一维小波神经网络的基础上，我们研究了用来处理多维数据信息的小波神经网络，并将其应用于室内混合气体检测，主要是基于小波神经网络学习收敛速度较快，对网络输入不是很敏感，以及小波神经网络可以有效的进行函数逼近或者信号逼近的特点。

A merge-split algorithm based on study property of neural net and sum aggregate is presented. Its merit is that its merge is disconnected a little and freedom satisfies the adaptability, and it is realized during learning rather than stipulating in advance. Furthermore, the method of fitting edge of uncontinuous image with neural net is given. The method can carry on the fit at self-learning, using its learning function fully under the circumstances without the mathematical function form of edge.

提出了一种基于神经网络学习特性和集合论的边缘分段算法(Merge-Split)，优点在于它的分段间断点、自由度满足自适应性，能在学习过程中实现而不必事先规定；进一步提出神经网络拟合不连续的图像边缘的方法，在无边缘数学函数形式的情况下，充分利用其学习函数的任意逼近和自学习性进行拟合，实践证明该方法可以克服以往边缘拟合方法的不足。

The paper puts forward immunity arithmetic used in distribution network on the basis of analyzing common uncertainty arithmetic and immunity arithmetic theory. It gets an optimizing project for distribution network, in which the equilibrium of load is regarded as target function. It has been exampled that this project is of higher constriction speed and stronger global search ability.

3在分析常见的非确定性算法和进化免疫算法原理的基础上，提出了在配电网络重构中采用免疫算法，并求解以负荷均衡为目标函数的配电网络重构的最优方案，实例表明该方法具有较快的收敛速度和较强的全局搜索能力；同时本文还为实时配电网络重构定义了启动条件，避免在配电网络正常运行时频繁启动网络重构。

The dissertation recommends some kinds of methods and measures: such as adjusting the network configuration, connecting value and threshold value by the total value of all stylebooks, adding part of the adjusting value of the last time to the current adjusting value, transforming the stylebooks to standard value, optimizing activation function, appending threshold value to the putout of the nerve cell and so on. Simultaneity, the author brings forward a new method to optimize the model of artificial neural network . It is using the automatically adaptive genetic algorithm to make the network configuration, connecting value and threshold value of artificial neural network better. The method can make the model better and improve the simulating effect and forecasting precision.Genetic algorithm is an arithmetic based on evolution and genetics used to search the optimization .

本文针对人工神经网络应用中存在的上述问题，介绍了各种改进方法与措施：如用所有样本的总效果对网络权值矩阵和阈值向量进行调整、调整量中加入动量项、标准化训练样本数据、优化激励函数以及给神经元的输出值添加偏置量等；同时还提出了一种新的优化人工神经网络模型的方法，即采用自适应遗传算法对人工神经网络模型的网络结构和权值阈值进行全局优化搜索，以提高大坝安全监测人工神经网络模型的拟合成果和预测精度。

The paper adopts the RBF neural network to fit ship lines at the first time and puts forward the method determining the RBF center point sets suitable for fitting ship lines. It shows that the method is of much higher learning speed compared with BP neural network, and is both practical and feasible based on the examination of the fitting precision by using the power function and circular function.

采用RBF神经网络拟合船舶型线，提出了适合船舶型线拟合的RBF中心点集的选取方式，与BP网络相比大大提高了学习速度和精度，用幂函数和圆函数检验本方法拟合曲线的精度，充分证明本方法拟合船舶型线是实用可行的。

Neither the killing of Mr Zarqawi nor any breakthrough on the political front will stop the insurgency and the fratricidal murders in their tracks.

在对危险的南部地区访问时，他斥责什叶派民兵领导人对中央集权的挑衅行为。

In fact,I've got him on the satellite mobile right now.

实际上 我们已接通卫星可视电话了