混合樣本 的英文怎麼說

中文拼音 [húngěyàngběn]
混合樣本 英文
composite sample
  • 混 : 混形容詞1. （渾濁） muddy; turbid2. （糊塗; 不明事理） foolish; stupid
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 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...
  • 混合 : （攙雜在一起） mix; blend; mingle; admix; mixture; mix up; interfusion; commixture; blending; cre...
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  1. The mind stuff also, reflecting as it does an infinity of mind impressions, becomes the instrument of the self and acts as a unifying agent

    同樣，靈性本體實際上也反映的是無限意識的心靈印象， （因混合性）成為自我的運用工具並充當整合體的代理。
  2. 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。
  3. Objective : to provide a minimum sample size approach and a sequential sampling approach for testing whether the sporozoite rate has exceeded the critical level of malaria epidemics using the pool sampling method

    摘要目的：給出基於混合樣本的最小檢測次數法和序貫檢驗法，以檢驗子孢子陽性率是否超過導致瘧疾流行的臨界水平。
  4. This paper concerns studies on rhizobia in symbiosis with important legume soybean and peanut crops in china, following : 1 ) summarized bio - diversity of rhizobia, including indigeneous population, isolation frequency, strain type, distribution, and strain - host promiscuity and compatibility from large and small samples. 2 ) reviewed symbiont improvement in both sides of rhizobia and hosts, involving selection of effective rhizobial strains, evoluation and utilization of the host germplasm for symbiotic properties, and selection of the both sides for special characters. 3 ) discussed the subject on the rich symbiont germplasm resource in china and on further research being necessary to exploitation and utilization of the benificial germplasm

    針對我國主要豆科作物大豆和花生的研究成果，並結合本身研究工作內容， （ 1 ）總結了與宿主共生的根瘤菌生物學多樣性，包括大、小樣本的土著根瘤菌群體數量、分離頻率、類型與分佈及其菌株宿主共生混交性與親和性； （ 2 ）評述了根瘤菌宿主植物共生體雙邊固氮改良，包括優良菌株的選育、宿主品種資源共生特性的評價與利用及特異性狀的選擇； （ 3 ）討論了我國這一類共生體資源的豐富性以及有必要進一步加大力度研究有益資源的開發和利用的問題。
  5. Abstract : this paper concerns studies on rhizobia in symbiosis with important legume soybean and peanut crops in china, following : 1 ) summarized bio - diversity of rhizobia, including indigeneous population, isolation frequency, strain type, distribution, and strain - host promiscuity and compatibility from large and small samples. 2 ) reviewed symbiont improvement in both sides of rhizobia and hosts, involving selection of effective rhizobial strains, evoluation and utilization of the host germplasm for symbiotic properties, and selection of the both sides for special characters. 3 ) discussed the subject on the rich symbiont germplasm resource in china and on further research being necessary to exploitation and utilization of the benificial germplasm

    文摘:針對我國主要豆科作物大豆和花生的研究成果，並結合本身研究工作內容， （ 1 ）總結了與宿主共生的根瘤菌生物學多樣性，包括大、小樣本的土著根瘤菌群體數量、分離頻率、類型與分佈及其菌株宿主共生混交性與親和性； （ 2 ）評述了根瘤菌宿主植物共生體雙邊固氮改良，包括優良菌株的選育、宿主品種資源共生特性的評價與利用及特異性狀的選擇； （ 3 ）討論了我國這一類共生體資源的豐富性以及有必要進一步加大力度研究有益資源的開發和利用的問題。
  6. Study on the characteristic of piezoceramic actuator is an important step in the studying of undamaged - inspection process based on piezoceramic actuator technology. this thesis firstly dwells on the sample model of piezoceramic actuator under the restriction of concrete. through theory and experimentation analysis, we arrives at a conclusion that the vibration behavior of piezoceramic actuator belongs to that of the thin plate

    本文著重研究了在混凝土約束條件下壓電陶瓷片的樣本模型，在此基礎上通過理論探討和實驗現象分析，認為埋置於混凝土中的壓電陶瓷片是符合彈性力學中克希霍夫有關薄板理論的假設，是屬于薄板振動問題，並確定了其邊界約束條件。
  7. On the other hand, they play an important role in the theories of esfimation for regression function. in this paper, we mainly get the large sample properties for partitioning estiona - tion and modified its estimation. for example, we proved their asymptolic normaity under nuture conditions by means of mortingle theory ; we also get their strong consistency for regression function under censored samples ; and finaly we genearzed the result to dependence sample and have strong consistency for the modified partitioning estimation of regression function

    因此本論文研究了回歸函數基於分割估計及改良基於分割估計的大樣本性質，利用鞅的有關理論，在比較自然的條件下，證明了其漸近正態性；首次構造了截尾樣本的回歸函數基於分割估計及改良基於分割估計，並證明其強相合性；同時把有關結果推廣到相依樣本下（如混合） ，獲得了改良基於分割估計的強相合性及收斂速度。
  8. So, we propose another novel algorithm using the cubic spline interpolation along the relevant direction and computing weights by trigonometric function of the gradients. the algorithm also adopts the correlation between color channels. and it proved highly effective based on some tests

    鑒於此，本文接著提出了一種基於三次樣條函數在相關方向進行插值以及利用梯度的三角函數關系來計算相關性加權系數的混合型插值方案，並結合了考慮不同顏色通道間的相關耦合關系。
  9. Since the images of a human face lie in a complex subset of the image space that is unlikely to be modeled by a single linear subspace, we use a mixture of linear subspaces to model the distribution efface and non - face patterns. in the other words, we used fisher linear discriminator to project samples from a height dimensional image space to a lower dimensional feature space

    對于背景復雜的人臉圖象的檢測，使用單個線性線性子空間很難準確地區分出人臉和非人臉模式，因此，本文使用混合線性子空間對人臉和非人臉樣本的分佈進行建模，在利用自組織映射神經網路標識人臉和非人臉樣本的基礎上構建一個fisher人臉檢測器。
  10. The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method

    本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。
  11. In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local

    本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。
  12. Abstract : the empirical likelihood confidence intervals for quantiles are constructed under a - mixing sample, which are based on the result that the blockwise empirical likelihood ratio statistic asymptotically has the 2 ( 1 ) distribution

    文摘:在一定的條件下證明了-混合樣本下分位數的分組經驗似然比統計量的漸近分佈為2 （ 1 ） ，由此可構造分位數的經驗似然置信區間
  13. The optimal pool sizes of the 2 approaches were given by minimizing the expected pooled sample size ; computer simulation was used to verify the outcomes

    對最大期望檢測次數進行數學優化，求解最優混合樣本的大小，並通過計算機模擬對有關結果進行驗證。
  14. Results : the optimal pool size, programming of matlab, and the steps of trials of the 2 approaches were given

    結果：給出了最小檢測次數法和序貫檢驗法的最優混合樣本計算方法、 matlab程序和具體操作步驟。
  15. Combining wavelet features and morphology features of cancer cells in shape and structure, a cancer - cell auto - recognition method is put forward. the experiments on hybrid examples of lymphocyte, meothelial and adenocarcinoma shows that the recognition ratio using this method is nearly 100 %

    本文利用小波特徵與形態學特徵相結合，根據癌細胞形態和摘要結構的特點，給出了一種胸液脫落癌細胞的自動識別方法，對由淋巴細胞、間皮細胞和癌細胞組成的混合樣本的實驗檢測表明，該方法正確識別率接近100 % 。
  16. Empirical likelihood confidence intervals for quantiles under - mixing samples

    混合樣本下分位數的經驗似然置信區間
  17. As a result, the classified accuracy of training samples were increasing while the training samples were increasing

    結果發現不論為何種混合樣本資料，分類正確率會隨著訓練?例樣本數的增加而呈現遞增的趨勢。
  18. When the number of the training samples were on the two numbers, 200 and 250, the classified accuracy was irregular, and the difference between these two number was not significant

    在實驗設計上，先產生三種混合樣本資料，以比較在各種不同的實驗設計下，學習向量量化網路分類正確性之差異。
  19. Whether the government will consider allowing hotels to connect different wastewater outlets to a single outlet so that a joint sample reading of the different categories of wastewater can be taken

    會否考慮讓設有多個排污出口的酒店將各出口連接，以便在不同類別的污水中取得混合樣本的數據？
  20. Conclusion : the optimal pool size in the present study can obtain satisfactory testing power ( type and type errors are both lower than 5 % ) and can effectively decrease the pooled sample size

    結論：利用本文給出的最優混合樣本和檢測步驟，在獲得比較滿意的檢驗功效（兩類錯誤概率均低於5 % ）的同時，可以有效降低檢測次數。
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