sample set 中文意思是什麼

sample set 解釋
樣本集合
  • sample : n 1 樣品，貨樣。2 標本；榜樣，實例。3 【統計】典型取樣，抽檢查。4 【電訊】信號瞬時值。5 【冶金】 ...
  • 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. 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。
  2. Fundamental of laser 40ar / 39ar dating method : our laboratory has successfully set up the laser microprobe 40ar / 39ar geological dating method. our works include adjustment of the high - gain electron multiplier in mass spectrometer and correction of mass discrimination, adjustment of the laser, test for absorption ability of minerals to laser, designing and manufacturing high - vacuum sample chamber, sample preparation and irradiation, research on the variability of j values on the surface of rock chips, measuring atmospheric argon, determination and correction of blanks and ages, etc. the laser microprobe technique is particularly effective for some geological samples. it can be used, for example, for research of distribution of the components in extremely small samples that are very difficult to be separated and purified and those which contain excess argon

    本文首先從常規~ （ 40 ） ar ~ （ 39 ） ar階段升溫定年實驗室的改進入手，進而建立了激光~ （ 40 ） ar ~ （ 39 ） ar定年實驗室，利用這兩種先進同位素地質定年方法，結合其他手段，對青藏高原腹地和北緣的阿爾金斷裂系多期地質事件進行了詳細的同位素年代學研究：一、參照國際先進實驗室的流程，對我們的常規~ （ 40 ） ar ~ （ 39 ） ar階段升溫實驗室在樣品的預處理、樣品的照射條件和系統空白測量及校正等方面進行了改進，使之產出的同位素年代數據更可靠並為國際同行所承認。
  3. 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。
  4. 1. 4 based on the attribute db, the soil classification graphic db is set up by using arc / info cis. the soil order, suborder sketchs and basic classification unit ( series ) sample maps, make the distribution of soil in hubei province clear at a glance

    4在屬性數據庫的基礎上，利用arc infogis建立了湖北省土壤分類圖形數據庫（空間數據庫） ，運用計算機編制和輸出了全省土壤系統分類土綱、亞綱概圖和基層分類單元（土系）樣塊圖，使全省土壤分佈狀況一目了然。
  5. Return the data as a string containing the raw data, ( e. g., 2 bytes per sample in big - endian byte order ( high byte, low byte ) if you have set the sample width to 2 bytes )

    傳回代表原始數據的字元串， （例如，如你設定取樣寬度為兩個位元的話，則每個樣本以雙字元大順位次序存放（高字元，低字元） ）
  6. In other words, we depend on the strong ability of classification of nn to recognize the characters of a car plate ; 4 ) under the precondition of inadequate samples, we introduce the technology of additional sample in the progress of characters recognition which uses experiential knowledge to construct some sample artificially and then inserted these samples into the sample set in order to improve the performance of network

    在字元的識別過程中，在使用較為簡單的圖像處理技術的基礎上，仍然使用構造性的覆蓋演算法，依靠神經網路強大的分類能力來對車牌字元進行識別： 4探討了在樣本數量較少的情況下，通過在字元識別過程中引入附加樣本的技術，利用先驗知識對原先的樣本集進行擴充，從而提高網路的性能。
  7. The improvement of image characteristic obtaining at real time satisfies the application and supports the adaptive gamut mapping. the sampling and visualization of sample set in different color space show the optic difference and give the error analysis of the color conversion between them. based on the study of the color relation among the color spaces, the visualizing color can be created automatically with conversion formulas

    針對當前色彩管理研究缺乏可視化支持的現狀，本文在研究相關理論和技術的基礎上，將可視化技術應用於色彩管理，為其提供模型支持和可視化環境，形成了一套較完整的色彩管理可視化工具。
  8. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  9. Firstly, the samples are divided into several sample set, every sample set is represented by one modular e - hmm, the modular e - hmm parameters are obtained through doubly embedded viterbi training algorithm, and the necessary temporary parameters in the parameter re - estimating process are also saved for the use of next step

    該方法對訓練樣本中不同訓練樣本集，都通過訓練演算法產生相應的模型參數模塊，訓練結束后對不同的模型參數模塊合成，得到最終的模型。
  10. This paper summarized a system feature set for transient stability classification, several methods for analyzing the separability of input space of transient stability classification are discussed, tabu search - ing technique is employed to select an effective set of features from a large initial features set. the classification test shows that the presented method works very well for feature selection. fisher linear recognition is employed to cut down the training sample set, the computation burden of the ann training is alleviated very much, so the convergence performance is improved

    本文總結提出了一組用於穩定分類的系統特徵，研究了幾種暫態穩定分類輸入空間可分性分析的方法，並利用tabu搜索技術從一個維數較大的特徵集中選擇出一組有效特徵，取得了良好的效果；研究提出了利用fisher線性識別技術壓縮訓練樣本集的方法，大大減輕了ann的訓練負擔，提高了ann收斂的性能。
  11. Normal behavior and anomaly are distinguished on the basis of observed datum such as network flows and audit records of host. when a training sample set is unlabelled and unbalanced, attack detection is treated as outlier detection or density estimation of samples and one - class svm of hypersphere can be utilized to solve it. when a training sample set is labelled and unbalanced so that the class with small size will reach a much high error rate of classification, a weighted svm algorithm, i

    針對訓練樣本是未標定的不均衡數據集的情況，把攻擊檢測問題視為一個孤立點發現或樣本密度估計問題，採用了超球面上的one - classsvm演算法來處理這類問題;針對有標定的不均衡數據集對于數目較少的那類樣本分類錯誤率較高的情況，引入了加權svm演算法-雙v - svm演算法來進行異常檢測;進一步，基於1998darpa入侵檢測評估數據源，把兩分類svm演算法推廣至多分類svm演算法，並做了多分類svm演算法性能比較實驗。
  12. When prediction with little training sample set and large variable si ? is concerned, this paper abstracts the prime factors from the training sample set, then only inputs the prime factors into ann instead of primary variables

    對于多指標小樣本預測問題，文中利用主成分分析法對原有指標體系進行處理，提取主成分構成新的指標作為神經網路的輸入。
  13. Using error back propagation algorithm. the limitation of the bp net is also improved ; 2 > when prediction with little training sample set and large variable size is concemed, this paper abstracts the prime factors from the training sample set using rough set theory, then only inputs the prime factors into ann. this diminishes the size and the input nodes number of ann

    對于即網路本身易陷入局部極小點及收斂速度慢的問題，在文中也得到了改進； 2 、對于財政轉移支付中標準收入的測算屬于多指標小樣本的預測問題，文中首次利用粗集理論對初始的指標體系進行約簡，提取出關鍵性的因素作為神經網路的輸入。
  14. After training, the bp can capture the inherent nonlinear mapping relationship held in sample set. while in operation, it can finish any nonlinear mapping from n - dim space of input to m - dim space of output

    在運行階段，當向網路輸入訓練時未見過的非樣本時，它便能完成由輸入的n維空間到輸出的m維空間的任意非線性的正確映射。
  15. A quick google search yields a sample set of commands to play with

    用google可以快速地搜索到一組可供使用的樣本命令：
  16. The program comes with a built - in tutorial and sample set of regular expressions

    這個程序帶有一個內建的教程和正則表達式樣例。
  17. It only need be trained with enough couples of input - output model ( sample set )

    經過訓練的網路便提取了蘊藏在樣本集中的非線性映射關系。
  18. Inject the sample preparations such that each sample set is bracketed by a working standard solution

    這句話的意思是樣品溶液和對照品溶液同法操作。
  19. Now that you understand the implications of the compilation, let s use a sample set of results to focus our discussion on couplings

    您應該已經理解了編譯所涉及的問題，現在，就讓我們用一組示例結果來集中討論耦合。
  20. A main method to estimate the effect of neural network training depends on the forecast precision of the test samples, but there is no a proper method to select test samples from the sample set

    研究內容主要是神經網路訓練過程中樣本分配問題。網路訓練效果的評價依賴于樣本分配方式，而目前進行樣本分配主要是依靠經驗和技巧的方法存在很大隨機性。
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