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The common SVD algorithm was briefly discussed and analyzed on the basis of vector space,and a new iterative scheme was proposed to achieve the nonnegative constraint.Based on this scheme,the SVD inversion algorithm was improved.

摘要介绍了核磁共振T2谱传统奇异值分解反演算法,从向量空间的角度对算法进行了分析,提出了一种新的实现非负约束的迭代方案,并根据这个方案改进了传统的SVD反演算法

Then, the more relations between the CBU# and viewing conditions such as brightness, velocity, and viewing distance will be discussed.

最后,我们成功将此量化指标应用於采用不同演算法之5.6吋色序法显示器上,也用以比较相同演算法的32"和15.4"两者间之面板特性。

This thesis proposed two methods of particle swarm optimization and genetic algorithm to optimal reactive power dispatch of transmission systems, respectively. The advantage of these methods is to achieve near optimal solution for discrete nonlinear optimization problem. So this thesis simulates the proposed method for IEEE 30-bus power system and a practical Taipower system.

本论文提出应用粒子群优法演算法和基因演算法,并使用电力潮流分析,调度输电系统中的无效功率,而粒子群优演算法和基因演算法,在求解非线性的离散解时,均能达到可能的最佳解,因此本文应用此两种方法对输电系统作最佳无效功率调度,并且使用IEEE 30-bus系统与实际台电系统作测试,比较此两种方法的调度结果。

This paper discusses the nonlinear inversion algorithms instructively andmainlystudytwokinds ofnonlinearinversionalgorithms: SimulatedAnnealingConjugate Grads and Artificial Neural Network Genetic Algorithms, these two methods can decrease the iteration times and avoiddroppinginto the local extremum, we do the model calculation and confirm thevalidityofthealgorithm.

对非线性反演算法进行了有益的探讨,主要研究了两种非线性混合优化反演算法:模拟退火共轭梯度混合反演和神经网络遗传反演算法,两种混合算法都达到了减少迭代次数、避免陷入局部极值的目的,并进行了模型试算,验证了算法的有效性。

During the past long period, much progress has been realized on the study of the retrieval of LST based on remote sensing, and many algorithms for the LST retrieval have been developed. However, in these algorithms non-isothermal mixed-pixels are all treated as an isothermal and homogeneous surface, which caused directly the results that the LST obtained by these algorithms is only an average temperature of mixed-pixel.

在过去很长一段时间里,地表温度的遥感反演取得了长足的进展,发展了大量的反演算法,但是这些算法都把普遍存在的非同温混合像元视为同温同质体,直接导致反演所得的只是物理意义模糊不清的混合像元的平均温度。

From the starting value selection method in the Fuzzy ISODATA algorithm, used the method of maximal matrix element to ascertain the number of classification, the theoretical analysis of repeated test, and finally, the improved fuzzy ISODATA algorithm is obtained. The algorithm reduced sensitivity to the starting value. The algorithm can highly effective clustering analyze and obtains a stable result, so it presents an efficient way of improving the contribution value of custom service.

研究中先对模糊ISODATA聚类演算法中,初始划分矩阵和分类数的确定,并使用最大矩阵元素法,求得最佳化演算法中其他参数值,最后在CRM系统实际验证和分析中,采用本研究改良之模糊ISODATA聚类演算法,对汽车销售公司实施客户模组分类,经实验证明所得到的聚类结果,可有效解决一般聚类方法受限於参数设定敏感度的困扰,并使聚类精确度提高,有效排除杂讯敏感的影响,使聚类效果大幅提升,可帮助行销人员做出预测,制订出针对客户差异化的行销策略,提高客户服务的贡献价值。

In this paper, we establish a method to determine the resitivities of the earth and diameter of invaded zone simutaneously,using the deep and shallow apparent resitivitics,and propose a new algorithm. The main advantages of our method is that the selection of the initial value is need not, but in proviously work, it is nescssary and it must close to real values.

成功地解决了由双侧向测井深、浅视电阻率同时反演地层真电阻率和等效侵入带直径问题,建立了可靠的反演算法,此算法的最主要优点在于它不依赖于初值的选取,因而是真正具有工程实用价值的算法。

In this project, we have deduced the joint inversion model of geodetic data, seismic data and geological data considering about their weight ratio; presented Bayes-iterative search inversion algorithm which improved on the traditional Bayes algorithm and strengthen the stability of inversion solutions; enriched and developed geodetic joint inversion theory and method of tectonic stress field; joint with geodetic, seismic, geological and geophysical data, we have inverted the temporal and spatial variation characteristics of crustal deformation of active tectonic blocks in North China and the present-day cruatal movement and strain-stress field by FEM, DDA and bi-cubic spline function fit method; especial for the crustal deformation result in some typical areas, we have presented geodynamical interpretation and done some seismic dangerous estimations.

大地测量联合反演构造应力场属于大地测量与地球动力学和地震学的交叉研究领域,主要内容是研究用大地测量地壳运动监测数据定量研究地壳运动和变形的动力学问题及分析预测地震,本项目推导了兼顾权比确定的大地测量、地震和地质三类数据的联合反演模型;提出贝叶斯-轮回搜索反演算法,改进传统的贝叶斯方法,改善反演解的稳定性;丰富、发展了大地测量反演构造应力场理论及方法;联合大地测量、地震、地质、地球物理数据采用有限单元法、块体不连续变形分析法和双三次样条函数拟合方法反演分析了华北地区活动地块运动时空变化特征以及中国大陆现今地壳运动与应变-应力场,对典型地区地表形变结果进行地球动力学解释并进行地震危险性估计。

In this paper we propose a new metric. This proposed metric is more robustic than FCM、AWFCM and AFCM. Thus, we claim that the proposed new metric is more robust than others, which is better one.

而我们这篇论文是提出一个新的演算法,这演算法较FCM、AWFCM、AFCM较为稳定,此外,我们也利用几个例子来证明新的演算法比其他演算法较为稳定,算是一个较优的演算法

Though 2-D DCT/IDCT roughly are divided into row-column decomposition and not row-column decomposition. NRCD is more efficient than RCD, but it is relatively too complex for hardware to be implemented. So the design structure of this thesis also uses RCD as usual.

虽然 2-D DCT/IDCT 大致分为行列分解演算法(Row-Column Decomposition)及非行列分解演算法(Not Row-Column Decomposition),而且非行列分解演算法会比较有效率,但是硬体实现的复杂度相对提高,故一般采用行列分解演算法

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