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In DFP structure, two eigen-based RR algorithms, i.

本文第4章在GSC-CSM思想的基础上提出了DFP-CSM算法。

Applications to multilayer neural network learning show that the new algorithm is more efficient and accurate than BP, DFP, and BFGS algorithms.

在多层神经网络训练中的应用表明，它比普通BP学习算法、DFP和BFGS方法更有效、更准确。

Firstly, a quantitative relation about finite deformation and geometrical parameters which exhibit variation of laser spectral image was introduced. And then, particular emphasis was put on some important computer processing steps related to the analysis of spectral image, such as digitizing, segmentation, feature extraction and analytical algorithms. Lastly, some examples about an experiment of a ring subject to large diametral compression were given.

文中首先给出了有限应变和平均整旋角与反映频谱图像变化的几何参数之间的定量关系，然后着重介绍了与频谱图像分析有关的数字化、分割、特征提取和分析算法等重要的图像处理过程，最后给出圆环受径向荷载大变形实验的分析实例。

In Chapter 2, starting from the basic fractional ordinary differential equations,weapply a high order approximation of fractional derivative advanced by Lubich to frac-tional differential equation, construct a high numerical difference scheme to solve thefractional differential equation, present error analysis of the algorithms theoretically,and prove the consistency ,convergency and stability.

接下来的第二章中，首先从基本的分数阶常微分方程出发，对Lubich提出的一个关于分数阶导数的高阶近似，将其应用于分数阶微分方程，构造高阶数值差分格式来进行分数阶微分方程的数值求解，并在理论上给出这一算法的误差分析，证明了它的相容性，收敛性和稳定性。

By analysis and comparison the algorithms, the dissertation presented an algorithm, based on the Sobel operator and frame difference method. Considering the characteristics of infrared image, the frame difference algorithm is simple and easy to be realized by hardware.

文中对多种边缘检测算子进行了分析比较，其中Sobel算子在处理该类图像时的速度与效果比较理想，且算法简单易于DSP硬件实现，所以最终采用了sobel算子。

It projects the image to get 1D data and changes the data into the 0-1 string using the difference operator. The coarse matching using the fast string matching algorithms is obtained. The finer matching is achieved using the NC method.

该算法对图像计算一维投影，并将投影数据差分转化为描述图像特征的字符串，在快速字符串匹配的基础上，进行归一化的相关计算，既保证了匹配效果，又提高了匹配速度。

Apply the thought of differential and integral calculus to the problem of global optimization, imitate the algorithm of digital approximation of definite integral and construct a category of algorithms that can solve global optimization with great brevity and utility.

把微积分的基本思想应用到最优化问题中，仿照定积分的数值逼近算法构造出一类简洁实用的全局优化算法-积分选择算法。

Based on the intelligentized algorithms and Matlab,simulation regarding optimization of benzene-toluene flash vaporization process is made. The simulation result shows that the amount of benzene in vapor phase product reaches the maximum on the condition of effective adjustment of temperature,pressure and diffluence coefficient and the production process is optimized.

对基本蚁群算法进行了智能化改进，并运用智能蚁群算法和Matlab语言，对化工生产过程中的实际优化问题，苯-甲苯闪蒸过程进行了优化仿真计算，仿真结果表明，在有效地调整温度、压力及分流系数的条件下，使得汽相产物中苯的产量达到最大，实现了苯-甲苯闪蒸过程的最优化，同时也证明了蚁群算法可以有效地解决化工生产过程中的优化问题。

Second, we design and implementation the tax-controlled system and whole security of data of the system. We integrate application the encrypted algorithms technology, digital signature, key managing and digital digest, etc. And combine such hardware equipment as CPU card and POS machine, has solved the systematic security wholly.

然后对税控系统的整体系统及整体安全性进行设计与实现，综合应用密码技术、数字签名、密钥管理和数字文摘等，结合CPU 卡和税控器等硬件设备，整体解决了税控系统的安全性。

This article from the following aspects of the PID study, with a focus on digital PID algorithms and simulation.

本文主要从以下几个方面对PID进行研究，重点是数字PID的算法和仿真。

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。