樣本集合 的英文怎麼說

中文拼音 [yàngběnjígě]
樣本集合 英文
sample set
  • 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...
  • 集 : gatherassemblecollect
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  • 集合 : 1 （聚集） gather; assemble; muster; call together 2 [數學] [自動化] [計算機] assemblage; set; co...
  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. 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。
  3. To verify the effectiveness of the proposed hybrid fnn, this thesis addressed the estimation problem for the frozen point of light cyclic oil in a fluidized catalytic cracking unit ( fccu ) in a refinery. based on the sample data collected from the industrial unit, we built a soft sensor model by using an above hybrid fnn

    最後，針對某煉油廠催化裂化裝置主分餾塔輕柴油凝固點的軟測量估計問題，本文基於工業現場所採集的樣本數據，建立了混合結構神經網路模型，並討論該模型的在線自學習問題，同時與多層前向bp網路、徑向基函數rbf網路模型進行了比較。
  4. Through statistic sampling and constructing the statistics with the comprehensive magnitude of spectrum, the alarm limit of comprehensive mal - functions can be determined in accordance with the 3 rule

    對實時監控系統採集、記錄的實測數據進行抽樣，用樣本譜線綜合幅值構造統計量，採用3規則確定了測點綜合故障報警限。
  5. The basic thought is to divide the cities which are close to each other into a group ( physical area ) by applying sorting neural network, find out the optimal path by the improved hnn, and then calculate the local optimal path by using the same method, and finally get the whole optimal path, which are described as following : a assembly s of cities is grouped into some subsets according to their physical location and we can get, and then get the optimal, path of tsp of s = { s, i = 1, 2, n } through the given method, as well as the st

    基本思想是利用聚類神經網路先把地理位置上相互靠近的城市劃分為一個集體單位（一個物理區域） ，用改進的hopfield神經網路演算法求解各個區域間的最優（或近似最優）路徑，然後再在每一個區域內部用同樣的方法來求解其局部的最優（或近似最優）路徑，這樣可以最終得到全局的最優（或近似最優）解。描述如下：設有城市集合s ，按城市的地理位置把s劃分為若干子摘要2集，得s ijs ， ，其中廠s ； d ， i一口求得集合i叫s s ； i習， 2 ， … n的tsp最優路徑，再依次求得子集s ；內部的tsp最優路徑，即得最終優化路徑m一） s一） …一寧s ； di
  6. Through the study of the style of knowledge description, the paper elaborates the numerical model knowledge, the symbolic experience knowledge and the instantial swatch knowledge. these three kinds of different knowledge have been used in loans risk classification in the paper. just as the using of the object oriented technique and the ai ( include es, ann, and the integrated of ann and es ) technique, can the paper realize the five - grade loans risk classification

    本文通過對知識描述形式的研究，表述了經驗符號性知識、模型化數量性知識和實例樣本性知識三種類型，通過對其行為特徵及轉換、集成的研究，將這三種異構知識引入貸款風險分類分析；採用面向對象技術和人工智慧的es 、 ann兩種形式及其結合，實現了貸款風險五級分類。
  7. In actual gis applications, both integrated gis platforms and specialized gis platforms are in demand. to satisfied with a special gis applications which has few spatial data, simple spatial objects, few demand for map ability, more demand for distance data access and more demand for multi - user cooperation ( i. e. : apply gis to telecomm resource management, electric power capital management, land property right management etc. ), a spatial data model based on constructed point set storage is presented

    針對空間信息數據量較小、空間對象相對簡單、圖形功能要求不高，但對遠程數據訪問、多用戶並發操作等功能要求較高的一類特殊應用（如電信資源管理、電力資產管理和宗地管理等） ，本文提出了一個基於構造點集（用於空間圖形對象構造的樣本點的集合，簡稱為構造點集）的全關系型空間數據模型，來滿足該類應用的特殊要求。
  8. A popular solution toimprove the speed and scalability of the association rule mining is todo the algorithm on a random sample instead of the entire database. buthow to effectively define and efficiently estimate the degree of errorwith respect to the outcome of the algorithm, and how to determine the samplesize needed are entangling researches until now. in this paper, an effective and efficient algorithm is given based on the pac probably approximate correct learning theory to measure and estimatesample error

    關聯規則挖掘作為數據挖掘的核心任務之一，由於其任務本身的復雜性通常需要多次整個掃描數據庫才能完成挖掘任務且頻繁模式可能產生組合爆炸，使得從原始的大規模數據集上抽取一部分樣本，在其上尋找用戶感興趣的近似規則成為目前提高演算法效率和可擴展性的一種簡單有效的現實可行方法之一。
  9. Six teachers of such subject as chinese, mathematics, science, sports, art, society and science are chosen as the research samples. the author collects a vast data by the means of observing the lessons, interviewing the teachers and analyzing a large amount of materials in many primary schools in liuzhou

    以g小學為主，我在柳州市范圍內選取了小學語文、數學、科學、體育、藝術、綜合實踐等各個科目共六名教師為主要的研究樣本，併到各小學聽各種研究課、觀摩課、賽教課，通過訪談、聽課、實物分析等方式收集了大量資料。
  10. Energy spectrum ananlysis using wavelet technique is studied and applied to deal with feature exstraction of missile fault signals, from which a feasible feature vector is created, to be used by the fdes based on inn. parameters for diagnosis are also selected based on two different criteria : the cluster divergence of sample datas and the diagnosis reliability of parameter candidates

    研究了小波能量譜分析技術在地空導彈故障數據特徵提取方面的應用；提出了基於樣本綜合離散度和參數診斷置信度兩種診斷參數選擇的方法，從而為基於集成神經網路的故障診斷做好了準備。
  11. This thesis takes up a corpus analysis based on the genre approach. it aims to work out the generic structure and the lexical - grammatical strategies employed by the counsel in the statements of defence and then to account for their choices of the moves and strategies

    作者在體裁分析的基礎上，運用樣本集合的分析方法，試圖分析得出律師在辯護詞中選用的體裁結構和語言策略，以及律師做出該選擇的原因。
  12. In this paper, we also put forward a incremental learning algorithm for such a model. when the number of new samples attains or exceeds the valve, we use these samples to make a model, and merge this model with current model, thus get a new current model

    針對這個問題，論文提出了一種增量學習方法:當新樣本集的樣本數達到或超過閥值時，用新樣本集建立一個模型，與當前的模型合併，得到最新模型。
  13. If there are plenty of samples, this system can diagnose pulverizing system fault exactly, and the system also includes explaining mechanism which can provide fault reason and fault dissolving method. it is obvious that the system can help to prevent pulverizing system fault happening and ensure the pulverizing system run safely and reliably

    在樣本集足夠豐富的情況下，本系統可對制粉系統所發生的故障作出較準確的診斷，再依據其解釋機制，對故障原因進行分析，並提出合理的解決措施，這對于制粉系統故障的預防和處理，提高運行人員的管理水平具有指導意義。
  14. Through frequent testing on the temperature of the objects, the training sample assemblies are obtained

    通過對場景中物體的表觀溫度進行多次測量，得到訓練樣本集合。
  15. 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。
  16. A method of synthetic diagnosis for power transformer is put forward, in which the effective information from electrical tests and analysis result of the dissolved gas in the oil can be fully utilized. one fault probably cause several omens,

    該方法不但可直接從完備的故障徵兆樣本集中導出正確的診斷結論，而且還能從不完備的故障徵兆樣本集中導出滿意的診斷結論，並能夠處理變壓器的復合故障。
  17. Based on analyzing the relationship between linear separability and a connected set in boolean space, the particular effect of a restraining neuron in extraction of rules from a bnn is discussed, and that effect is explained through a example called a mis problem in boolean space. in this paper, a pattern match learning algorithm of bnns is proposed. when a bnn has been trained by the algorithm, all the binary neurons of hidden layer belong to one or more ls series, if the logical meanings of those ls series are clear, the knowledge in the bnn can be dug out

    另一個研究成果是在分析線性可分和樣本連通性關系的基礎上，以mis問題為例，討論了抑制神經元在二進神經網路規則提取中的獨特作用，提出了二進神經網路的模式匹配學習演算法，採用這種演算法對布爾空間的樣本集合進行學習，得到的二進神經網路隱層神經元都歸屬於一類或幾類線性可分結構系，只要這幾類線性可分結構系的邏輯意義是清晰的，就可以分析整個學習結果的知識內涵。
  18. By investigating 4 groups of test data of a certain type of engine, 24 original attributions were reduced to 2 groups, each group had 2 attributions, critical parameter combinations for fault diagnosis for liquid rocket engine were obtained ; 213 records were reduced to 5 or 6 records

    分析了某型號發動機的4組試車數據，將原來的24個屬性約簡為2組，每組有2個屬性，得到了在該樣本集中所有可能的、關鍵的、決定性的故障診斷因素的組合。針對每組，將原來的213個記錄分別約簡為5和6個。
  19. You can also quickly enable or disable each of the installed poplets a good sample collection comes with the system

    還可以快速啟用或禁用每個已安裝的poplet （系統帶有一個很好的樣本集合） 。
  20. A unified algorithm for data merge and steady state detection was presented. 2. for reaction process, a data reconciliation arithmetic based on atoms was developed

    針對乙醛生產過程數據採集時間的多樣性，提出了數據融合和穩態判斷的聯合演算法；使用該演算法對乙醛生產過程的數據進行融合、穩態檢測，形成樣本集合。
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