网络函数

Areas in which toolboxes are available include signal processing, control systems, neural networks, fuzzy logic, wavelets, simulation, and many others.

MATLAB 的工具箱函数涉及到信号处理，控制系统，神经元网络，模糊逻辑，小波，数值模拟以及其他许多应用领域。

Analyze the delay of toll station and the fixed need model of tollgates deployment. 3 Research models of distinguishing multi-path traffic in network toll collection system and compare the strongpoint and shortcoming of varies methods systemically. 4 Bring forward the method of distinguishing multi-path traffic in network toll collection system.

本文主要做了以下几方面的工作： 1阐述了路阻函数和交通流量分配的网络均衡两原则。2分析了收费站的延误与缴费车道确定性选择模型。3深入地剖析了联网收费的路径识别模型及其优缺点。4 提出了高速公路联网收费中二义路路径识别的一般方法。

In this paper,the raft is approximated by a thin plate with regular shape at first.Then the floating raft system is divided into several subsystems,such as plate raft,elastic foundation,etc,which are respectively modeled by four-parameter net method.After that,dynamic absorber and active absorber are put into a uniform frame to obtain the model of plate raft subsystem coupling with them.At last,according to the force and velocity relationship among each subsystem\'s interfaces,the entire plate floating raft system is modeled by subsystem structural admittance synthesis method.As the main structure of floating raft system is elastic,it is inevitably to study the optimization of actuators\' mounting positions before designing control law.In this paper,two new criterions are proposed for it.

本文首先将浮筏的中间筏架用一个规则形状的薄板近似；然后再将浮筏系统分解成若干个子系统，如板式筏架子系统、弹性基础子系统等，运用四端参数网络建立了它们的动力学传递方程，传递特性由导纳矩阵描述；接着，将动力吸振器和主动吸振器的(来源：ABC90论文00网www.abclunwen.com)分析统一于一个框架内，获得了与吸振器耦合的板式筏架子系统的动力学传递特性；最后，根据各子系统在各界面上的作用力和速度的相互关系，通过子系统结构导纳综合方法获得了整个板式浮筏系统的动力学传递方程，并在此基础上获得了系统的力传递函数模型。

Fault propagate model to obtain and combine present prevailing large amount of information, neuron network,etc. method most model, Direct against fuzzy Petri network give and publish undering the jurisdiction of degrees of algorithm of function concrete their; Petri network reasoning method combine trouble tree forward reasoning reverse algorithm of reasoning mainly, The concrete instance of connection is analysed and compares; Participate in potato cake production line background that design with author finally , combine on-the-spot characteristic of equipment, Set up one fault diagnose concrete model of expert system.

故障传播模型的获取结合了当前流行的最大信息量、神经元网络等方法，并且针对模糊Petri网给出了其具体的隶属度函数的算法；Petri网推理方法主要结合故障树正向推理反向推理的算法，联系具体实例进行分析和比较；最后以笔者参与设计的薯饼生产线背景，结合现场设备的特点，建立了一个故障诊断专家系统的具体模型。

Reactive power needs depend on the voltage gradient, which is a function of the network topology.

所需的无功取决于电压的增减率，其是网络拓扑的函数。

Considering just-in-time production, the mathematical model of flexible job-shop schedulingfor bi-objective is established. To solve the model, a genetic algorithm is developed. In this algorithm, a two-row chromosome structure is presented because of the special point of the model. At the same time, AOV network is applied to decode and compute the fitness function. Then selection, crossover and mutation operator of the genetic algorithm are designed. Finally, an example of job shop scheduling is shown.

同时考虑现代生产准时制的要求，建立了柔性作业车间调度问题的双目标数学优化模型，并给出了求解模型的遗传算法的具体实现过程；针对模型的特殊性，提出了染色体两层编码结构，将AOV网络图应用到解码和适应度函数的计算中，通过一个调度实例进行验证，给出了相应的选择、交叉、变异操作设计方案。

Firstly, a class of affine nonlinear systems are considered. The single-layered neural networks are used to approximate the nonlinear functions of the systems. Stable adaptive control algorithms are presented based on system states feedback and system output feedback respectively. The boundary of the tracking error is guaranteed. Then, by using the technique of input-output linearization, the stable adaptive control method for general nonlinear systems is proposed. Finally, the effectiveness of the proposed adaptive control algorithms are verified through the simulation researches for the control of robot manipulator.

首先考虑一类仿射非线性系统，利用单层神经网络去逼近系统的非线性函数，分别给出了基于系统状态反馈和输出反馈的稳定自适应控制算法，确保系统的跟踪误差有界；然后利用输入输出线性化方法，给出广义非线性系统的自适应控制方法；最后通过在机械手位置跟踪控制中的仿真研究，验证了所提方法的有效性。

CBR can solve many difficult problems that traditional handling knowledge system can"t solve, for instance, knowledge handling efficiency low outside system "boundary, march conflict, combination explosion, self-learn difficult, complex problem class difficult and train taking long time in artificial nerve net.

CBR系统具有存储积累、快速检索、匹配与改写、学习与归纳等特点，它较好地解决了传统知识处理系统&边界&以外的知识处理效率低下、匹配冲突、组合爆炸、自学习困难、人工神经网络中复杂问题难以分类、训练费时以及数学函数模型结论局限等问题。

A self-adapting fault diagnosis method based on radial basis function networks is studied in the thesis.

研究了基于自适应径向基函数网络的故障诊断方法。

Furthermore, due to the possible discontinuities of the activations functions, we introduce a suitable notation of limit to study the convergence of the output of the delayed neural networks.

此外，由于激励函数的不连续性，我们介绍了一个适当的极限记号来研究时滞神经网络输出的收敛性。我们的结论推广了相关文献的结果。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。