optimal set 中文意思是什麼

optimal set 解釋
最優集合
  • optimal : adj. 最適宜的；最理想的；最好的 （opp. pessimal）。
  • set : SET ＝safe electronic transaction 安全電子交易〈指用信用卡通過因特網支付款項的商業交易〉。n 【埃...
  1. Optimized association rules are permitted to contain uninstantiated attributes. the optimization procedure is to determine the instantiations such that some measures of the roles are maximized. this paper tries to maximize interest to find more interesting rules. on the other hand, the approach permits the optimized association rule to contain uninstantiated numeric attributes in both the antecedence and the consequence. a naive algorithm of finding such optimized rules can be got by a straightforward extension of the algorithm for only one numeric attribute. unfortunately, that results in a poor performance. a heuristic algorithm that finds the approximate optimal rules is proposed to improve the performance. the experiments with the synthetic data sets show the advantages of interest over confidence on finding interesting rules with two attributes. the experiments with real data set show the approximate linear scalability and good accuracy of the algorithm

    優化關聯規則允許在規則中包含未初始化的屬性.優化過程就是確定對這些屬性進行初始化，使得某些度量最大化.最大化興趣度因子用來發現更加有趣的規則;另一方面，允許優化規則在前提和結果中各包含一個未初始化的數值屬性.對那些處理一個數值屬性的演算法進行直接的擴展，可以得到一個發現這種優化規則的簡單演算法.然而這種方法的性能很差，因此，為了改善性能，提出一種啟發式方法，它發現的是近似最優的規則.在人造數據集上的實驗結果表明，當優化規則包含兩個數值屬性時，優化興趣度因子得到的規則比優化可信度得到的規則更有趣.在真實數據集上的實驗結果表明，該演算法具有近似線性的可擴展性和較好的精度
  2. The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed

    較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。
  3. An improved optimal set of statistical uncorrelated discriminant vectors

    改進的統計不相關最優鑒別矢量集
  4. The research work of this article is a part of the " reliability research of cylinders for compressed natural gas vehicles " project which was subsidized by chongqing scientific committee, it aims to research the destructive theory and design theory and method for fiber enlaced composite materials shell, and synthetically use finite element optimal technology to set up composite materials cad system

    本文的研究工作是重慶市科委資助項目「天然氣汽車氣瓶可靠性研究」的一部分，旨在研究纖維纏繞復合材料殼體設計理論及方法和破壞機理，綜合運用有限元優化技術建立復合材料殼體cad系統。
  5. Methods the optimal proportion of levant storax oil and dalbergiae odoriferae oil, which were active ingredients of the traditional chinese medicine styrax and dalbergiae odoriferae, was bolted by using uniform - design method ; the myocardial ischemia model of rats was set up through the induction of isoprel and the above rats were divided into 5 groups, which were model control group, high dose group of shuangxiangyou, middle dose group of shuangxiangyou, low dose group of shuangxiangyou, and positive control group of muskone

    方法傳統中藥蘇合香和降香的有效成分蘇合香油和降香油最佳配比採用均勻設計方法篩選；建立由異丙腎上腺素造成的心肌缺血大鼠模型，將實驗分為模型對照組、雙香油高、中、低3個劑量組及冠心蘇合丸陽性藥物對照組后進行藥效學實驗。
  6. According to the different sample set, we have been on discussion, using lagrangian multiplier technique or lmt in the optimal theory, slt and function analysis ， then we get the decision function and svm with the corresponding different sample set. thirdly, for improving generalization ability, application ability and recognition speed of svm, we have used fuzzy set theory ( fst ) and rough set theory to study svm deep, and integrated them into svm, constructed fssvm ( fuzzy set svm ) and svm based on rough set theory, and extended performances of svm in the chapter 4, 5

    再次，為了進一步提高支持向量機的通用性以及推廣能力、應用能力、識別速度等性能，在第四、第五兩章運用模糊集理論（ fst ）和粗糙集理論（ rst ）對支持向量機進行研究，採用優勢互補原則，先是把模糊集與支持向量機有機結合，構造出基於模糊集的支持向量機（ fssvm ） ，然後把粗糙集理論與支持向量機相互結合，進而把rst與fssvm相互結合，構造出基於rst的支持向量機。
  7. Applying the results to optimal controller to realize the minimizer of the cost function of mkdv - burgers equation under neumann and dirichlet boundary control. secondly, using inertial manifold and approximate inertial manifold theory, the approximate inertial manifold under fourier bases is given and we construct a set of odes of three modes to obtain the long - time dynamic behavior

    其次，利用慣性流形和近似慣性流形理論，給出mkdv - burgers方程在fourier基下的近似慣性流形，並且把這一方程所確定的無窮維動力系統約化為一組三模態下的常微分方程組，從而研究這一方程所確定的動力系統的長期動力學行為。
  8. Determining the optimal solution set for linear programming in general form

    一般形式線性規劃最優解集的確定
  9. This paper introduces the developing tendency of the space structure and the application of the pretensioned space lattice structure, summarize the analysis method and relation between lattice structure and pretensioned space lattice structure. dissertate the space pole - truss displacement method, tendon working principle, set forth the method of optimal design and whole process design. includes the use stage design and construction stage design of pretensioned space lattice structure

    本文首先介紹了空間結構的發展趨勢及拉索預應力空間網格結構的應用情況，概述了網格結構與拉索預應力空間網格結構的分析方法及其相互關系，論述了空間桿系桁架位移法，拉索作用機理，闡述了拉索預應力空間網格結構的優化設計及全過程設計的設計方法，包括拉索預應力空間網格結構使用階段的設計和施工階段的設計。
  10. This paper researches the basic statistical rule of oil - gas dynamic system from the systematic theory, combining with the common characteristic and structure characteristic of oil - gas dynamic system, taking the design requirement of oil field development programming into consideration, by using of functional simulation principle ( including nn method, differential simulation method ) and historical data of oil field, establishes the in - out conjunctional relationship of dynamic index of oil field development, and researches the two level index prediction of development dynamic with both oil field and oil production plant on the basis of the in - out conjunctional relationship. furthermore, this paper analyzes the " decision - making variable ", " object " and " restriction terms " by the optimization theory and set up several optimal models which compose the oil field development programming, it is following : optimization model of the production composing ( solving the optimal composing of each subentry production and cor responding cost, workload, including the onshore thin oil production, the heavy oil thermal process production, tertiary oil recovery production, and the offshore production ) ; optimization model of measure production structure ( determining the optimal composing of each measure production and measure workload, which is composed of fracture, acidulation, capital repair and so on ) ; optimization model of the production distraction ( optimal distribution of the whole oil field production to each oil production plant ) and the integrated development programming model of oil field

    本文從系統理論出發研究油氣動態系統基本統計規律，結合油氣動態系統的一般特點，結構特點，兼顧油田開發規劃設計的要求，利用功能模擬原理（含神經網路方法、微分模擬方法） ，依據油田歷史數據，建立了油田開發動態指標間的輸入輸出關聯關系，並在此輸入輸出關聯關系的基礎上研究了油田及採油廠兩級的開發動態指標預測，同時利用最優化原理，在分析「決策變量」 、 「目標」及「約束條件」的基礎上建立了多個構成油田開發規劃的「優化模型」 ，這些優化模型包括：產量構成優化模型（解決陸上稀油產量、稠油熱采產量、三次採油產量、海上產量及對應的成本、工作量的最優構成問題） ；措施產量結構優化模型（解決壓裂、酸化、大修等各項措施產量及措施工作量的最優構成問題） ；產量分配優化模型（將油田的產量最優地分配到各採油廠）以及油田綜合開發規劃模型。
  11. Optimal policies for a continuous time mcp with compact action set

    在緊致行動集上的最優策略
  12. Some existing topology - unaware collective operations algorithms do n ' t make use of the information about network topology. firstly, these approaches construct a model of network topology and make use of a set of parameters to describe the communication characteristics of a network model, then build the optimal trees based parameter values and their models to realize collective communication

    現有的一些未知拓撲型集合通信演算法，並不利用網路拓撲結構信息，都是首先對網路模型化，並且用各種參數來描述該模型中網路通信的特點，然後基於此模型和其參數值為集合通信操作構造最優樹來實現集合通信。
  13. An iterative algorithm of solving generalized optimal set of discriminant vectors based on perturbation

    基於擾動方法的廣義最佳鑒別矢量集求解的一種迭代演算法
  14. An analytical algorithm of solving generalized optimal set of discriminant vectors based on perturbation method

    基於擾動方法的廣義最佳鑒別矢量集求解的一種解析演算法
  15. An iterative algorithm for the generalized optimal set of discriminant vectors and its application to face recognition

    求解廣義最佳鑒別矢量集的一種迭代演算法及人臉識別
  16. A novel algorithm calculation the generalezed optimal set of discriminant vectors in the cace of small number of samples and its application t to face recognition

    一種在小樣本情形下求解廣義最佳鑒別矢量集的新演算法及其在人臉識別中的應用
  17. ( 5 ) a series of design methods of classifiers are proposed, including the classifier based on the generalized inverse and the probabilistic reasoning method ( prm ), a new self - adaptive kohonen clustering network which overcomes the shortcomings of the conventional clustering algorithms, and the fuzzy neural classifier. the experimental study efface recognition is presented based on the combination of multi - feature multi - classifier. ( 6 ) this paper proposes a hybrid feature extraction method for face recognition, which is a combination of the eigen matrix, fisher discriminant analysis, and the generalized optimal set of discriminant vectors

    （ 5 ）對圖象分類器設計方法進行研究，主要包括：提出了一種基於廣義逆和概率推理的分類器設計方法；提出了一種新的自適應模糊聚類演算法；提出了基於模糊神經網路的分類器設計方法；並對多特徵多分類器組合方法在人臉識別中進行實驗研究； （ 6 ）提出了一種只要一個訓練樣本就能解決人臉識別問題的新方法，該方法結合了特徵矩陣、 fisher最優鑒別分析和廣義最優鑒別分析方法的優點。
  18. ( 3 ) a series of new methods of feature extraction based on the generalized optimal discriminant analysis are proposed, including the improved algorithm based on guo ' s algorithm calculating the generalized optimal set of discriminant vectors, the analytical algorithm of solving generalized optimal set of discriminant vectors which is the complete solution of the generalized optimal set of discriminant vectors, and the new algorithm of feature extraction based on the generalized kl transformation which enjoys the advantaqges of higher recognition rate and the lower computational load. furthur more, we have proposed the relationship between the generalized kl transformation and the generalized optimal discriminant transformation, a new explanation of generalized kl transformation has been obtained

    （ 3 ）提出了基於廣義最優鑒別分析的圖象特徵抽取的一系列新方法，它們包括： guo廣義最優鑒別矢量集演算法的改進方法；廣義最優鑒別矢量集的解析演算法，徹底解決廣義最優鑒別矢量集的求解問題；提出了基於廣義k - l變換的特徵抽取方法，並從理論上揭示了基於廣義k - l變換的特徵抽取方法和基於廣義最優鑒別準則的特徵抽取方法之間的關系。
  19. ( 2 ) a series of new methods of feature extraction based on the optimal discriminant analysis are proposed, including the new lda algorithm based on the spectral decomposition of within - class scatter matrix sw which is effective when the number of class is small, an improved algorithm of optimal set of discriminant vectors based on the svd which is effective for face recognition, and the kernel fisher discriminant method ( kfdm ). experimental results on orl show that the kfdm outperforms conventional fisher discriminant methods in face recognition, however the computational load is much higher than those of conventional algorithms

    （ 2 ）提出了基於最優鑒別分析的圖象特徵抽取的一系列新方法，它們包括：基於對類內矩陣s _ w進行譜分解的f - s最優鑒別矢量集方法，該方法在類別數比較小時非常有效；一種改進的基於svd的最優鑒別矢量求解演算法，將該方法用於人臉識別時有較好的性能；非線性最優鑒別矢量集方法，該方法雖然有效，但計算時間較長。
  20. Computing result shows that : coevolutionary mdo algorithms are effective on this problem ; distributed coevolutionary mdo algorithm is better than cooperate coevolutionary mdo algorithm ; asynchronous parallel version of distributed coevolutionary mdo algorithm speeds up the optimization procedure greatly while maintains good convergence performance ; multiobjective distributed coevolutionary mdo algorithm approximates the whole pareto optimal front well in only one single run, saves much computing cost than constraint method to obtain pareto optimal set, and greatly shortens search time by distributed asyn

    計算結果表明：協同進化mdo演算法求解該問題是有效的，其中分散式協同進化mdo演算法優于合作協同進化mdo演算法；異步并行的分散式協同進化mdo演算法在保證收斂性能的同時大大加快了優化進程；多目標的分散式協同進化mdo演算法僅一次運行就很好的逼近了問題的整個pareto最優前沿，比用約束法求解pareto最優集節省了大量計算開銷，而且通過網路多臺微機的分散式并行執行大大縮短了搜索時間。
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