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The core of this paper is to analyze and probe into ridge regression from different ideas, such as the existence of ridge parameter K, the choiceness of ridge estimation K , the choice of ridge parameter K and the methods of regression coefficients.

本文简单介绍了主成分回归,阐述了主成分估计方法的原理和优缺点;重点是从不同的角度不同的思想出发,对最常见的岭回归估计法进行了深入的探讨:岭参数K 的存在性,岭估计的优良性,岭参数K 的选择方法等。

The paper adopted the method of Braun-Blanquet school of vegetation ecology. Typical plots were chosen in order to investigate the vegetation type of the main parks in Kaifeng city. The analyses were based on defining the least area of communities with the usage of abundance dominancy and combining cover coefficient.

采用植被生态学中法瑞学派的研究方法,在确定群落最小面积的基础上,选取典型样地,运用多优度指数并结合盖度系数对开封市铁塔公园、禹王台公园、龙亭公园的植被类型、生境特点及各类型的群落生态学特征进行较为详细的研究。

The problem of multi-objective usually meet many conflict each other and can not use the objective of the same standard unit, then to employ membership function of fuzzy theory,at first each objective function to change fuzzy set and express with membership function, membership function include the maximum constraint, minimum constraint, the decrease function of monotonic property, to become optimal of the multi-objective function, but still to scanty of weighting value with regard to adjustment of objective function, thus this thesis proposes the method of combine orthogonal arrays and particle swarm optimization to solve the problem of multi-objective optimal power flow, each objective function separately add weighting value, to setting each weighting value of objective function in order to the result of anticipating.

多目标最佳化的问题通常会面临到许多互相冲突且不能用同ㄧ标准单位的目标,於是利用模糊理论中的归属函数,首先将各目标函数转换成模糊集合并以归属函数表示,归属函数包含了最大限制值、最小限制值、单调的递减函数所组成,将各目标函数利用归属函数表示,形成单一目标函数的最佳化,但是仍缺乏权重值对於目标函数的调整,於是本篇论文提出ㄧ种权重值设定与粒子群优演算法的方法去解决多目标最佳电力潮流的问题,将各目标函上分别加上权重值设定各目标函数的权重值,得到预期的效果。

The mixed method raise the convergent rate of the conjugate gradient method, and solve the problem which the steepest descent method can not solve in the condition with badly characteristics for the objective function.

混合算法既提高了共轭梯度算法的收敛速度,又解决了目标函数"性态不优"时,最速下降法难以求解的问题。

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从有历史以来,英国,在此地早期居住的是凯尔特人,已经被征服了三次。

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