最優樣本 的英文怎麼說

中文拼音 [zuìyōuyàngběn]
最優樣本 英文
optimum sample
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  1. Aiming at multiple frames video sequences with moving objects, a new image mosaic method imitating compound eyes is presented based on image ' s characteristic. now. some mosaic algorithms are local optimizing

    兩種方法克服了現存的圖像拼合演算法只能得到局部最優解的缺點，對圖像樣本的要求大大降低，而且可以得到全優解。
  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. Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node

    首先，文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量；其次，利用對原有bp網路訓練演算法基礎上的改進型演算法（即在計算本次權值和閾值的變化時增加上一次權值和閾值變化的影響以及採用變學習率，與此同時隱含層神經元個數採用動態形式） ，通過樣本訓練使網路結構模型達到最優。
  4. Clustering analyse is a method of data disposing and include hard clustering, fuzzy clustering and feasibility clustering. the operation speed of hard clustering is higher, but it dissevers the relations of samples. fuzzy clustering overcome it, but there is local best the thesis brings up a improved method to overcome it by combining hard clustering and fuzzy clustering

    針對聚類分析中的硬聚類方法、模糊聚類方法和可能性聚類方法，硬聚類方法速度快，但割裂了樣本之間的聯系；模糊聚類克服了這一缺陷，但存在局部最優，為此將硬聚類和模糊相結合，提出一種新的聚類分析方法。
  5. Firstly, by numerical and theoretical analysis, the author compares some existent confidence intervals, for example, " exact " confidence interval, wald confidence interval and bayesian confidence interval, and finds some deficiencies points of the confidence intervals, whose modification version has been proposed. also, several better confidence intervals such as are also presented. secondly, for given confidence coefficient and interval width, the author constructs a class of asymptotical two - stage interval estimate procedures. at the same time, under varies restriction of confidence coefflcientent interval width, the optional sample size of the first stage has been computed by numerical computation. the numerical computation shows that the method considered in this dissertation have good properties and applied value

    同時，由於poisson分佈的特性，我們知道不存在其參數區間長度小於0 . 5的置信區間，基於這些情況，我們主要展開了以下兩個方面的研究：一是利用數值計算分析與理論分析的方法對現有的若干置信區間如「精確」置信區間， wald置信區間， bayes置信區間等進行分析比較，發現了一些缺陷，針對這些缺陷，我們進行適當的修正，並得到幾種性質較好的置信區間如：修正大樣本區間jeffreys原則下置信區間二是針對已給定的置信系數與區間長度，我們提出了一種漸近的兩階段區間估計程序，並利用數值計算的方法，在各種置信系數與區間長度限定下，算出了最優的第一階段觀測次數（抽樣量） ，大量數據表明，本文考慮的方法性態良好，具有應用價值。
  6. The emergence of the " cooperative security " and its practice in the asia - pacific area create a fine regional environment for china to test " new security theory " and its " initiative - cooperation " security strategy. at the same time, china ' s " new security theory " and its " initiative - cooperation " security strategy will embody the principles of " cooperative security " : " cooperative security " is the core of the " new security theory " ; as a security pattern, " cooperative security " is an attractive pattern for china to practise its " new security theory ". this pushes china to involve all kinds of " cooperative security " organizations actively so that china can realize its security strategic goals of the asia - pacific area as early as possible

    「合作安全」理念在亞太的興起及以此理念為指導的合作安全模式在亞太的蓬勃開展為中國實踐「新安全觀」和選擇「自主合作」式安全戰略營造了良khi碩士學住論文wmaster 』 sthesis好的地區環境背景；同時， 「合作安全」也將內化為中國「新安全觀」和「自主合作」式安全戰略的一部分： 「合作安全」是「新安全觀」的題中應有之義，是「新安全觀」的核心內容， 「合作安全」作為一種安全模式，也是實施「新安全觀」的有效方式；在「新安全觀」的指導下，冷戰后的中國應該走「自主合作」式安全戰略之路，這就要求中國積極參與各種地區性合作安全組織並促進合作安全模式的發展，這樣有利於中國營造一個最優化的國際安全環境以保證本國在亞太的安全戰略目標順利實現。
  7. The three kinds of simulated point targets are designed and the rangeprofiles at aspect angle are computed. the radar target recognition method based on the optimal cluster centers is simulated and studied. it is discovered that the algorithm is effective when there are lots of training data, but noneffective when there are only a few training data

    2 、對最優聚類中心目標識別法進行模擬實驗並研究其識別性能，實驗結果表明該演算法在大樣本訓練數據時能得到較高識別率，是一種有效、可行的識別演算法，但在少樣本訓練數據時，所得識別率急劇下降。
  8. Using the net assets per capital, the investment return rate, the t - m model, the h - m model, the single factor evaluating model which consists of the treynor index, the jensen index, the sharpe index and the square m index, we evaluate the performance of the twelve mutual funds. and we come to the following conclusions : ( 1 ) after the modification of the risk factor, our mutual funds in the recent one year outguess the market ; ( 2 ) better performance comes from the aid of the government, the improvement of the investment environment and the hard, smart work of the managers especially in the way of selecting some securities in the capital market. ( 3 ) though we make progress, there are still many problems which prevent the further development of our mutual funds such as the devise of the management fee and the characteristics of different funds, all of them divided into the subjective ones and the objective ones

    通過使用投資基金單位凈資產和投資收益率指標、單因素整體績效評估模型，包括treynor指數、 jensen指數、 sharpe指數和業績的m ~ 2測度以及t - m 、 h - m模型對12隻樣本基金進行實證研究，實證研究表明： （ 1 ）經過風險調整后，在最近的一年中，我國證券投資基金的業績總體上優於市場基準組合； （ 2 ）基金業績的提高得益於管理層的重視、投資環境的改善和基金經理的經營，而基金經理的良好業績是通過一定的證券選擇來獲得的； （ 3 ）已成為證券市場上舉足輕重力量的基金在發展過程中雖然取得了一定的成績但其進一步發展還面臨著許多問題，有主觀存在的諸如管理費率的設定、基金風格方面的問題等等，也有客觀存在的諸如證券市場現階段的不完善等等，所以，我們應該抓住《證券投資基金法》問世帶給基金業發展的契機，大力促進證券投資基金規范發展，採取各種措施做大、做優和做強基金業。
  9. This article puts forward a solution named divide - assemble by deducing the size of bp neural network to overcome entering the local best point, the dividing process is that a big bp neural network is divided into several small bp neural networks, every small bp neural network can study alone, after all small bp neural networks finish their study, we can assemble all these small bp neural networks into the quondam big bp neural networks ; on the basis of divide - assemble solution, this article discusses the preprocessing of input species and how to deduce the size of bp neural network further to make it easy to overcome entering the local best point ; for the study of every small bp neural network, this article adopts a solution named gdr - ga algorithm, which includes two algorithms. gdr ? a algorithm makes the merits of the two algorithms makeup each other to increase searching speed. finally, this article discusses the processing of atm band - width distribution dynamically

    本文從bp網的結構出發，以減小bp神經網路的規模為手段來克服陷入局部極小點，提出了bp神經網路的拆分組裝方法，即將一個大的bp網有機地拆分為幾個小的子bp網，每個子網的權值單獨訓練，訓練好以後，再將每個子網的單元和權值有機地組裝成原先的bp網，從理論和實驗上證明了該方法在解決局部極小值這一問題時是有效的；在拆分組裝方法基礎上，本文詳細闡述了輸入樣本的預處理過程，更進一步地減小了bp網路的規模，使子網的學習更加容易了；對于子網的學習，本文採用了最速梯度? ?遺傳混合演算法（即gdr ? ? ga演算法） ，使gdr演算法和ga演算法的優點互為補充，提高了收斂速度；最後本文闡述了用以上方法進行atm帶寬動態分配的過程。
  10. By mapping input data into a high dimensional characteristic space in which an optimal separating hyperplane is built, svm presents a lot of advantages for resolving the small samples, nonlinear and high dimensional pattern recognition, as well as other machine - learning problems such as function fitting

    Svm的基本思想是通過非線性變換將輸入空間變換到一個高維空間，然後在這個新的空間中求取最優分類超平面。它在解決小樣本、非線性及高維模式識別問題中表現出許多特有的優勢，並能夠推廣應用到函數擬合等其他機器學習問題中。
  11. In addition, this paper makes a comparison among the pls, canonical correlation analysis and principal components analysis ( pca ) method, which proves that the pls works better than the others when there are only the small sample and more dependent and independent variables. chen yinghui ( lndustry economics ) directed by : pro

    本文在交通運輸業與旅遊業的關系分析中，對偏最小二乘回歸方法與主成分分析方法作了比較，驗證了在樣本較少、多對多的回歸分析中，偏最小二乘方法有明顯的優勢。
  12. Utilising dissolved gases analysis, a new insulation fault diagnosis method for power transformers is proposed. this method is based on the group grey relational grade analysis method. first, according to the fault type and grey reference sequence structure, some typical fault samples are divided into several sets of grey reference sequences. these sets are structured as one grey reference sequence group. secondly, according to a new calculation method of the grey relational coefficient, the individual relational coefficient and grade are computed. then according to the given calculation method for the group grey relation grade, the group grey relational grade is computed and the group grey relational grade matrix is structured. finally, according to the relational sequence, the insulation fault is identified for power transformers. the results of a large quantity of instant analyses show that the proposed method has higher diagnosis accuracy and reliability than the three - ratio method and the traditional grey relational method. it has good classified diagnosis ability and reliability

    基於變壓器油中溶解氣體分析，提出了一種基於群灰色關聯度分析的變壓器絕緣故障診斷新方法.首先根據故障類型與灰色參考序列構造，選擇變壓器典型故障樣本構造多組參考序列，這些參考序列組構成一個灰色參考序列群.其次根據給出的新的關聯系數計算方法，計算個體關聯系數和關聯度.然後根據給出的群灰色關聯度計算方法，計算群灰色關聯度和構造群灰色關聯度矩陣.最後根據關聯序識別變壓器絕緣故障診斷.通過大量變壓器絕緣故障診斷實例分析，所提方法診斷準確性與可靠性優於三比值法和傳統的灰色關聯分析方法，具有較好的分類診斷能力和可靠性
  13. The stochastic optimization method is brought forward, which makes a great amount of simulation of other bidder ' s biding in electrical market, as for every simulation, genetic algorithm is applied to solve the optimization problem, in consideration of the restraint of direct current network, one optimal bid is got, then using the average optimal bids in a great number of simulations as the last optimal bids. the program using c + + language of this method is programmed and examples are discussed for simulation, examples prove the bidding method ' s validity

    最後基於第五章的分析，提出了一種採用隨機優化和遺傳演算法相結合的競價方法，即對電力市場中各個競爭對手的報價作為隨機變量進行大量模擬，針對每一次模擬，在考慮直流潮流網路約束的情況下，用遺傳演算法求出一次模擬對應的最優報價，然後把大量模擬樣本求得的最優報價的均值，作為最優報價。
  14. The support vector machine composed by least sequence and directed acyclic graph algorithm has been used in paper currency identification, shows the advantages of capability in dealing with scared samples, nonlinear and high dimensions

    將次序最小優化改進演算法和有向無環圖演算法構建的支持向量機用於貨幣識別，充分發抨了支持向量機解決小樣本、非線性和高維模式識別問題的優點。
  15. How to get the optimal fisher discriminant vectors efficiently in singular case is a very difficult and critical problem. in this paper, we try to solve this problem in theory

    該文從理論上解決了奇異情況下基於fisher準則的最優鑒別矢量集的求解問題，為高維、小樣本情況下線性鑒別分析方法建立了一個統一的理論框架。
  16. Optimal sample pairing and critical value of logistic default risk modeling : the china case

    違約率模型最優樣本配比與分界點的模擬分析
  17. At last, based on amsaa model, the sequential testing approach is presented by bayesian method, while testing analysis and evaluation in small - sample circumstances is taken into account. and the optimal sample size is evaluated in given testing circumstances

    最後，在amsaa模型的基礎上，結合小子樣試驗分析與評估技術，利用貝葉斯方法建立了可靠性增長的序貫試驗方法，並對給定條件下試驗的最優樣本量進行了評估。
  18. The paper firstly combined the aerodynamic model, pollutant model, traffic model and the optimal operating fans selection model and then established the sample data gaining program to produce the optimal sample data ; secondly, the multi - layer forward neural network and the fuzzy control is combined within an equivalent structure, after the learning of sample data, the neural - fuzzy control system for the road tunnel longitudinal ventilation is produced ; thirdly, the optimal operating fans selection model is replaced by the fuzzy control model to make the tunnel ventilation simulation program, and then the control results under different traffic flow circumstances are evaluated in the matlab environment ; finally, the adaptive ability of the neural - fuzzy control system is discussed

    本文首先結合空氣動力學模型、污染模型、交通模型和最優風機開啟臺數選擇模型建立樣本數據獲取程序，利用該程序產生不同交通流下的最優樣本數據；然後，將多層前向神經網路與模糊控制進行結構等價型融合，通過學習最優樣本數據，建立公路隧道縱向通風神經模糊控制系統；之後，用此模糊控制模型替代最優風機開啟臺數選擇模型建立基於模糊控制的隧道通風模擬程序，在matlab下模擬模擬不同交通流下的隧道通風以測評控制效果；最後，對神經模糊控制系統的適應性進行了討論。
  19. How to determine optimal capital structure

    怎樣確定最優資本結構
  20. Taking the listed company as sample, this paper tests the year differences and industry differences of excellent capital structure, and discuss the statistic results

    以2000 ~ 2005年中國上市公司為樣本，對最優資本結構的年度差異和行業差異進行了統計檢驗，給出了分年度、分行業的最優資本結構，並對統計結果進行了討論。
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