| 1. | In our optimization , the visible points and the missing data are treated uniformly by adding different weights . experiments demonstrate that the algorithm is both effective and accurate
该算法通过引入加权矩阵，将可见点和被遮挡点同等处理，提高了数据的一致性。 |
| 2. | It should be mentioned that all the results obtained in this chapter is relevant to the hypnosis that the weight matrix is symmetric . chapter 5 is made up of two sections
而这些结果都不是以连接权矩阵具有对称性作为前提，所以部分结果涵盖了原有的在对称连接权矩阵条件下的前人的一些结果 |
| 3. | The two - stage method , including the weighting matrix important for the stage - two regression , is discussed detailedly in the paper . 4 . analysis of the attenuation law of ground motion energy
本文对两步回归法做了详细的论述，尤其对第二步回归分析时的加权矩阵做了细致的分析，并编制了计算程序。 |
| 4. | After analyzing the functions of the weighting matrices q and r , an efficient method , which is very easy to calculate with clear meaning , to select q and r is proposed . without iteration process , this method can save computational time considerably
同时分析了加权矩阵在最优控制器设计中的作用，提出了一种简单有效、意义明确、计算量小、不需要叠代计算的加权矩阵选取和计算方法。 |
| 5. | Considering the nonuniqueness and instability of ultrasonic computerized tomography for structural concrete as well as the ultrasonic transmission characteristics in concrete , a natural weight matrix with dear physical meaning was introduced in the inverse algorithm
摘要针对混凝土超声波层析成像结果不唯一和稳定性差的问题，首先依据超声波在混凝土中的传播特点，在反演算法中引入物理意义明确的自然权矩阵，对走时较小的射线和射线较密的成像单元加以重权。 |
| 6. | Sofm neural networks is embedded into evolutionary strategy ( es ) . fitness function is constructed based on the state of sofm neural networks . the sensitivity of sofm neural networks to initial weight matrix and sequence of input exemplars is overcome by the strong global optimum of es
将sofm网络嵌入到进化策略（ es ）中，根据sofm网络的运行状态构造es的适应性函数，利用es的强搜索能力，克服sofm网络聚类效果受输入模式次序和网络初始连接权矩阵的影响。 |
| 7. | In the second methodology , parameterized matrices are taken as the weighting matrices of the quadratic performance index . due to the existence of the relationship between parameterized matrices and control forces , the parameterized coefficients of the weighting matrices can be regarded as the control parameters , and they are taken as one part of the synthesis design variables . since the experimental conditions can not meet the requirement of acoustic measuring , a method based on experiment and simulation analysis is developed
在第二种方法中，以参数化矩阵作为二次型性能指标中的权矩阵，由于参数化权矩阵与机构控制力之间存在的对应关系，可以将权矩阵的参数化系数作为控制系统参数，与结构设计参数一起同时作为独立的设计变量，对目标函数进行优化分析。 |
| 8. | The paper makes simulation for each type of electro - hydraulic regulating system of turbine . the results of simulation show that for the francis and kaplan turbines the contradiction between regulation time and pressure increasing can be solved by logical chosen of feedback adjustment coefficient and control cost - weighting matrix . for tublar turbine the dynamic matrix pi control scheme can effectively solves the difficulty of speed stabling of this type turbine
本文对各种机组调节系统进行仿真，结果表明，对于混流式和轴流转浆式机组，通过反馈校正系数和控制权矩阵的正确选择，可以解决调节时间和水击压力上升的矛盾；对于贯流式机组，提出了动态矩阵pi控制方案，可以较好的解决此类机组转速难以稳定的问题。 |
| 9. | It is superior to passive vibration isolation system , and also to the general active - passive hybrid vibration isolation system . the functions of the weighting matrices q and r are analysed and the conclusion is obtained that instantaneous optimal control algorithm is superior to linear quadratic gauss when choosing the same weighting matrices
( 4 )用计算机仿真验证了智能结构主动隔振的有效性和优越性；分析了加权矩阵对控制系统的影响并探讨其选取方法；证明了在加权矩阵选取相同时，瞬时最优控制优于lqg控制。 |
| 10. | And it is obvious that pseudo - relaxation is a kind of local optimization method , so it cannot guarantee to get the global optimal solution . in this paper , a novel learning algorithm eprbam evolutionary psendo - relaxation learning algorithm for bidirectional association memory employing genetic algorithm and pseudo - relaxation method is proposed to get feasible solution of bam weight matrix
即使在和取定后，准松弛算法的训练和学习仍是一种局部最优化过程，它只是在初始权矩阵的附近找到第一个可行解就结束训练，这类算法并不能保证获得全局最优解。 |
