神经网络

Chapter three emphasizes onintroducing the concept n characteristics and basic principle of ANNs, especially presents the algorithm deduction ., shortage and improved methods of backpropagation neural network which is used in this text;in addition, wide-ranging applications of ANNs in civil engineering are generalized.

第三章主要介绍了人工神经网络的概念、特点和基本原理，特别指出了本文使用的BP网络的算法推导、不足和改进方法；并总结了人工神经网络在土木工程中的应用。

Neural network model, principle of learning algorithm, simulation curves and output results are discussed in detail.

对神经网络模型的建立、网络的训练方法、仿真曲线、神经网络的输出结果进行了详细的讨论。

Notice that the solvng ELP problem is equivalent to determine a nonlinear mapping,using the nature that BP neural networks has the parallelism and the capabilities of intrinsic nonlinear mapping,we propose a methods of using back error propagation of ne...

而求解线性规划问题的许多有效方法如单纯形法，Karmarkar's方法等却无法直接用于推广的线性规划问题的求解，注意到推广的线性规划问题等价于一个非线性映射，利用BP神经网络的本质并行性和高度非线性处理能力，该文提出了一类求解推广的线性规划问题的BP神经网络方法，它具有网络构建简单，求解精度高，计算量小等优点，实验结果表明其高效性。

It was applied to model and predict the variables of the mycetozoan fed-batch process. The result has shown that the structure of this kind of neural network model is simple, explicable and the convergent speed is much quicker.

为此，结合模糊粗糙集和智能控制的理论，充分利用模糊粗糙集和神经网络两者的优点，提出了一种新型的网络—模糊粗糙神经网络实现对发酵过程的建模和状态估计。

In this dissertation, the structure of MFNN and a training algorithm which can be easily implemented in hardware for a class of neural networks with general topology, are studied. Furthermore, the application of the redial basis function network, which can be classified as a type of MFNN, in the design of sliding mode controller is also investigated.

本文研究了多层前馈神经网络的结构问题和一种易于硬件实现的学习算法，还讨论了可以划为多层前馈神经网络的RBF网络在滑模控制器设计中的应用。

In this paper, the artificial neural network for the knap problem is explored. A new neural network to solve knap problem is presented.

研究了背包问题的神经网络解法，给出了一种求解背包问题的新的神经网络模型，并证明了该网络模型收敛到背包问题的最优解。

In Chapter Two, Liapunov functional method and Liapunov function method with Razumikhin techniques are employed to obtain some delay independent stability results for the Cohen-Grossberg neural networks with multiply delays.

在第三章中，我们首先对一般的无时滞Cohen-Grossber神经网络模型建立了几个稳定性定理，即文中定理3.3.1-3.3.4。从其中推论可看出负的自联接起着很大的稳定化网络的作用。然后我们考虑了一般的Hopfiel神经网络模型，运用单调动力系统理论，在对激发函数做出很弱的假定下获得了与时滞相关的稳定性结果，并对时滞的大小给出很多的估计，文中定理3.4.3。

An artificial neural network used for nonlinear vibration control systems is proposed in combination with state feedback control theories.

将人工神经网络理论引入振动控制工程领域，并将现代控制理论中的状态反馈理论与人工神经网络理论相结合，提出了一种基于BP网络的自适应控制方法。

A fault diagnosis based on wavelet and PNN was introduced, which firstly uses Mexican Hat wavelet to transform diagnosis signal and extract energy normalized vector, then uses PNN to output fault as a classifier.

针对煤矿主通风机故障与征兆对应关系复杂的特点，以及利用传统BP网络进行故障诊断存在训练速度慢、易陷入局部极小的缺点，提出基于小波和概率神经网络的故障诊断方法：先利用时频两域有紧支撑能力的MexicanHat小波变换故障信号并提取能量归一化故障特征向量；然后将概率神经网络作为诊断决策分类器，输出故障模式。

The simulation results show the good performance for the system by using network to adjust the parameters and the recurrent weight of neural network on-line dynamically on the condition of variety of system parameter and the impact of outside uncertainty factors.

仿真结果表明，当系统参数动态变化或受到外部不确定因素影响时，利用神经网络来在线调整网络的隶属函数参数以及神经网络递归权值，使系统具有良好的动、静态性能。

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。