神经网络

Chapter 2, Neural network method for constrained optimization problems.

在这一章中，我们简单介绍了神经网络和支持向量机的发展历史及研究现状，并对论文的主要结果给以简单介绍。

Give a new determinant principle in ANN constringency. Chapter 5 exerts visual technology to train net and to simulate data.

分析了基于神经网络的遗传算法应用的可行性和优越性，并利用面向对象的语言编写出该算法程序。

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。

And FN-BP algorithm is presented in allusion to fuzzy neural network in the dissertation, which improves the constringency speed and precision of the conventional BP algorithm.

同时还详细研究了基于遗传算法的模糊神经网络智能控制方法，提出对城市交通系统控制信号进行全局优化调度的算法。

The results of in-situ test are in good agreement with numerical simulation and it show that this method can successfully be applied to the identification and diagnosis of structural damage with the consummately trained wavelet neural network as an intelligentzed classifier.

仿真模拟试验显示了该方法的合理性，结果表明训练成功的神经网络可以作为智能分类器对框架结构损伤进行有效的识别和诊断。

The study shows the BP neural network model of hydro-turbine for s pecial discharge and special torque can be used to describe its nonlinear charac teristic and ensure the continuity of derivative function of special discharge. The convergence for hammer calculating is improved.

水轮机单位流量和单位力矩特性的BP神经网络模型能真实地表达水轮机的非线性特性，且解决了插值法的导数不连续问题，从而改善了水击计算的收敛性，为用于工程计算和科学分析的水轮机特性表达开辟了新的途径。

The study shows the neural network model of hydro turbine can describe its nonlinear characteristic really and ensures the continuity of its derivative function, so improved the convergence for hammer calculating and is a better description of hydro turbine hill chart for science research and engineering design.

利用所述方法建立的水轮机特性神经网络模型能真实地表达水轮机的特性，并且解决了插值法的导数不连续问题，从而确保了水击计算的收敛性，为用于工程计算和科学分析的水轮机特性表达开辟了新的途径。并利用所建立的数学模型，开发了基于MATLAB的可视化软件仿真平台。

Under some conditions, by using Mawhin continuity theorem and degree theory, the existence of the periodic solution of the periodic neural network is proved.

利用Mawhin连续定理以及拓扑度理论，证明了在一定条件下该周期神经网络系统周期解的存在性。

Simulat ion shows that the improved neural network has successfully modeled the continuo us flow stirred tank reactor system.

该算法提高了径向基函数神经网络的泛化能力和鲁棒性，研究表明是一种有效的"黑箱"动态建模方法。

There are two fundamentally different dynamical systems: those with discrete time variable and those with continuous time variable.

本文主要针对离散时间动力系统的动力学性质研究，包括差分方程及离散人工神经网络两个方面的研究。

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。