在算法上

Substituting other faster algorithm of NN for the BP algorithm in it, we get a new non-line homotopic synthetic learning algorithm, which increases the speed of convergence and improves the ability of avoiding local minimum.

在此基础上，进一步提出用其它改进的神经网络快速算法代替其中的BP算法，从而形成新的非线性同伦综合学习算法，即保持了快速收敛的特点，又较大地提高其避免陷入局部极小的能力，收到很好的训练效果。

This finished the embedding process, and the test results show that this algorithm has certain imperceptivity and robustness. Because of the same embedding intensity, on one hand, it leads to the decline of the quality of the carrier image and influence the transparency and robustness of the watermark.

在此基础上，本文介绍了一种传统的基于小波变换的数字水印算法，这种算法将数字水印小波分解后的各个子带，嵌入到原始载体图像第三级小波子带中去，实现了水印的嵌入，试验结果显示该算法具有一定的不可见性和鲁棒性。

To solve the problem, a pre-classification algorithm of measured data is introduced and a new algorithm is developed to divide unmeasured data into determinable and indeterminable data, using matrix projection algorithm.

采用已测数据预分类的方法，对其进行了修正。在此基础上，将矩阵投影算法引入到了未测数据分类中，提出了基于矩阵投影算法的未测数据分类算法。

Not considering the restriction of the depot s transporting ability in the existing achievement of emergency dispatch, consequently, this chapter establishes a sole-resource optimized dispatch model aimed at "the shortest dispatch time" which includes the constraint of transporting ability under time restriction firstly. Moreover, the chapter deduces the algorithm of the model by mathematical induction step by step. Secondl y, it simplifies the former model and gives a simpler sole-objective model and corresponding algorithm including the constraint of transporting ability. At last, on the basis of the improved model, this chapter discusses a two-phase programming model and a multi-objective programming model which are aimed at "the shortest dispatch time" and "the fewest number of mobilized depots" including the constraint of transporting ability under time restriction.

由于现有应急调运的研究成果中没有考虑到各物资供应点受运输能力的约束，因此本章首先建立限制期内以"应急调运时间最短"为目标且含有运输能力约束的单物资调运优化模型：并利用逐步递推法推导出具体的求解算法；然后，进一步地将此模型及算法进行简化，建立更加简单的含有运输能力约束的单目标优化模型：并且讨论其算法；最后，在改进的优化模型的基础上，讨论限制期内含有运输能力约束且以"调运时间最短"、"出动的供应点数目最少"为目标的双层规划及多目标规划的优化模型及解法。

Secondly, in view of the identification problem after the change of MRAPC structure, the research has been extended to a kind of continuous system with time delay, and the robust convergence analysis for this model reference adaptive identification algorithm has been given. Using the intermediate value theorem in this analysis, the approximate problem in original analysis has been solved partly.

2针对MRAPC算法结构改变后产生的自适应辨识问题，考虑一种更一般的具有实零极点的时滞连续系统的模型参考自适应辨识算法，作者分析了该算法的鲁棒收敛性，在运用微分中值定理的基础上，解决了原有的收敛性分析中存在的近似问题。

In order to enlarge the application scope of our algorithm, the expansions of eLiveSet on four ways are studied, that is, the gradient of multi-relation, the constraints on the gradient cell, the gradient in the interval and the different gradient function.

为了扩大了算法处理问题的范围，给出了eLiveSet算法在多种关系间的梯度、梯度元组约束条件、区间上的梯度、不同的梯度函数四个方面的扩展，这些扩展可以通过修改算法的相关部分来实现。

This thesis analysis the design principles and security and studies the critical algorithm of element inverse in the AES. Also the thesis presents an implementation for AES upon the DSP and PC platforms.

本文分析了AES算法的设计原理与安全性，探讨了AES算法中关键性的求逆问题，在PC机和DSP上实现了AES算法。

With the application of the sampling theorem and the Fast Fourier Transform, two groups of numerical forms of the algorithm equations suitable for two kinds of FFT subroutines are derived. Finally, the measurement algorithm is fully tested by the measurement and calculation carrier out for an MMW irradiator.

在解析算法的基础上，应用采样定理和快速傅里叶变换，推导了分别适用于两种快速傅里叶变换子程序的数值算法公式，通过对一种毫米波辐射器的实际测量和计算对测量算法进行了整体检验。

We calculate the differential characteristic set of determining equations for source evolution equations (include several linear and nonlinear differential system of equations).

用算法′计算了几个微分方程对称的确定方程组(包括线性微分方程组以及非线性微分方程组)的微分特征列集，并在计算量上对算法′与算法进行了比较。

Based on the old algorithm, introduce new Linear Feedback Shift Register, new Central Limit Theorem, Maclaurin Equation to generate uniform distribution, gaussian distribution, exponential distribution's random number respectively and analyze them, compares the difference between new algorithm and old algorithm.

在原有算法的基础上，提出了改进型线性反馈移位寄存法、改进型中心极限定理法和麦克劳林展开法，并对其作测试仿真，比较传统算法与改进型算法之间的优缺点。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。