在算法上

This paper first introduces the basic principle and concept of data fusion, summarizes levels and model structure of data fusion, summarizes common algorithms and sorts them, separately expounds data fusion algorithms, neural network and evidence theory, and lucubrates the structure design of neural network. And then, the advantages and disadvantages of neural network and the evidence theory are discussed. In order to colligate the two algorithms strongpoint and increase the fault diagnosis accuracy, fault diagnosis method using data fusion integrated Ann and evidence theory is presented and diagnosis approach of this method is expatiated on.

本文首先对数据融合的基本原理、基本概念进行了阐述，总结了数据融合的层次和模型结构形式，并对常用的融合算法进行了总结分类；分别对数据融合算法—神经网络方法和证据理论方法—进行了详细的阐述，同时对神经网络的结构设计进行了深入研究；然后对神经网络和证据理论方法优缺点进行了分析，在此基础上为了实现两种算法优势互补，提高诊断的准确率，提出了神经网络和证据理论集成的数据融合故障诊断法，并详细阐述了这种方法的诊断原理。

The coding,crossover,mutating and selecting operations of Genetic Algorithm are designed to solve the problem.

同时，针对基本遗传算法在解决优化问题上的不足，本文对遗传算法的编码、交叉、变异、选择操作进行了设计，采用自适应交叉率的遗传算法进行模型求解。

The simulation analysis demonstrates that the algorithm outdoes other algorithms in delay and adaptability .

理论分析证明了该算法的稳定性，仿真分析证明了该算法在转发时延和业务适应能力上优于其他算法。

The algorithm stability is shown by theoretical analysis. The simulation analysis demonstrates that the algorithm outdoes other algorithms in delay and adaptability.

理论分析证明了该算法的稳定性，仿真分析证明了该算法在转发时延和业务适应能力上优于其他算法。

To modify the common genetic algorithms, the niche technique and reserving the best individual are added to it.

在普通遗传算法的基础上加入了小生境技术和保留上一代最优个体的策略，以达到改进算法的目的。

In tiffs paper, inspired from the position-numeral description in computer, the step s expression of the search algorithm was gained through reasonable conversion of some interrelated rules, Based on inheriting the advantages of traditional Hill Climbing, a new way to search the kinematic inverse solution of multi-joint robot -intelligent hill climbing, was put forward.

本文从计算机原理中位置数制的描述获得启发，将其中的某些规律进行合理的转换，形成搜索算法的步长表达式；在吸收传统登山优点的基础上，提出了求取多关节机械臂运动学逆解的新算法——智能登山法，并对算法进行了描述，写出了完整的通用流程图，运用该方法求取机器人运动学逆解，无需矩阵运算、三角变换；收敛速度快，适于实时控制，仿真试验验证了该方法的可行性、实用性。

And the conclusion proves that the IA is rather better than the GA and any other algorithm at the astringing speed and optimizing results.

结果证明免疫算法在收敛速度和优化结果上确实优于遗传算法和一般算法。

Based on the summarizing of the algorithms of subdivision surface by Catmull and two-part texture mappings by Biers, this papers goes deeply into features of local texture mapping and the exiting problem, two kinds of local texture mapping methods are presented according to different topology surface.

本文在总结了Catmull的分割面片算法和Bier等的两步纹理映射算法基础上，深入研究了局部纹理映射的特点及目前存在的问题，提出了针对不同拓扑关系表面的两种局部纹理映射算法。

Because of the rigor of theory, simpleness, convenience and better design effect in LBG algorithm, LBG algorithm is adopted in clustering feature codebooks. It has guaranteed the quality of codebooks and systematic quality is got the assurance too.

由于LBG 算法其理论上的严密性、应用于上的简便性以及较好的设计效果，在特征码本聚类时采用LBG 算法，保证了码本的质量，系统的质量也得到保证。

Based on analyses of GA′s properties,a novel algorithm,the immune algorithm—IA,is proposed with analogies to the concept and the theory of immunity in biotic science.

本文在分析标准遗传算法的优越性与存在不足的基础上，借鉴生命科学中免疫的概念与理论，提出了一种新的算法——免疫算法。

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。