函數概況表 的英文怎麼說

中文拼音 [hánshǔgàikuàngbiǎo]
函數概況表 英文
function profiling
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 況 : Ⅰ名詞1 （情形） condition; situation 2 （姓氏） a surname Ⅱ動詞（比方） compare Ⅲ連詞[書面語] （...
  • 表 : Ⅰ名詞1 （外面;外表） outside; surface; external 2 （中表親戚） the relationship between the child...
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  • 概況 : general situation; basic facts; survey: 《亞洲概況》 a survey of asia
  1. The present dissertation discusses two issues in the laser plasma interaction. in the first part, we introduce the basic concepts about laser plasma interaction and simulation, and give the simulation results concerning the influence on the propagation of the laser pulse in plasma, exerted by the spatial modulation on the surface of the preformed plasma

    第一部分簡單介紹了激光等離子體相互作用物理與模擬的一些基本情況和基本概念，並模擬研究了靶表面等離子體的空間調制對激光傳播的影響，分析了等離子體溫度診斷問題及激光等離子體相互作用過程中粒子分佈函數的特徵。
  2. In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space, and change the bandwidth function. then we propose the semantic relevance feedback. the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values

    本文引入顏色自相關圖特徵作為圖像在底層特徵空間相鄰的度量，並修改了框架中帶寬的計算函數，然後引入反饋機制，對于用戶的正反饋和負反饋分別作不同的處理，以便在使用過程中，系統能夠繼續學習，根據反饋更新圖像的概率鏈表，使之逐漸接近真實情況。
  3. The research paper is based on the the latest softwares of the managing inventory, its research subject is about simulating the most appropriate inventory quantity and ordering quantity by statisticing the probability of the random require quantity. its purpose is to provide the relied basement for determining the most appropriate inventory quantity and ordering quantity, the deterring policy quality will be raised, so the damage caused by unfit inventory quantity and the benefit of the entrerpreneur will be raised. the research method is by building the inventory management information system, the system includes automated management of parts entering and going out the datasbase. requesting the records of parts entering and going out the datasbase and displaying the sygonal when the inventory quantity is short out. computer calculating the fix period remaining, requesting remaining at any time and displaying if goods need ordering, all the partsof certain a product going out of basement and at the same time checking if the storaging quantity is enough. then simulating the most appropriate inventory quantity and ordering quantity simulating method is as follows : statisticing the random required quantity. calculating the probability, standing for the values with data range producing random data by function accordingly calculating the random required quantity. thenext step is simulating all the projects after pressing in the simulating conditions. finally selecting the best

    本文通過分析國內外關于庫存管理軟體的發展情況，提出在線統計貨物出庫情況的基礎上利用模擬方法確定最優存儲方案，其目的是為制定合理的貨物安全庫存量和訂貨量提供可靠的依據，提高企業管理人員的決策質量，從而減小資金的佔用和缺貨損失，提高企業的經濟效益。通過研製庫存管理信息系統使庫存信息管理自動化，也就是實現貨物入出庫管理計算機管理、自動查詢貨物入出庫情況並在缺貨時給予提示、使用計算機貨物余額定期結算、貨物余額實時查詢並顯示是否需要訂貨、裝配出庫管理使得只要輸入需要裝配產品代號和數量，組成它的所有零件就會自動檢庫和出庫。然後對安全庫存量和訂貨量進行模擬，模擬方法是首先自動統計貨物在過去某一段時間內的需求量，計算出概率，用隨機數的范圍表示其概率數值的大小，利用隨機函數產生隨機數、從而間接的產生隨機需求量，給定模擬天數和其他模擬條件模擬各種方案，從眾多的存儲方案中找出最優存儲方案。
  4. At the same time, this paper puts forward a validity function for judging clustering in order to lead us to use it in k - nearest neighbor classification ; then introduces " generalization capability of a case " to k - nearest neighbour. according to the proposed approach, the cases with better generalization capability are maintained as the representative cases while those redundant cases found in their coverage are removed. we can find a new less but almost complete training data set, consequently reduce complexity of seeking near neighbour

    針對k值的學習，本文初步使用了遺傳演算法選擇較優的k值，同時總結了一種聚類有效性函數，數值實驗證實了其有效性，旨在指導應用於k -近鄰分類中；然後還將「擴張能力」的概念引入k -近鄰演算法，根據訓練集例子不同的覆蓋能力，刪除冗餘樣本，得到數量較小同時代表類別情況又比較完全的新的訓練集，從而降低查找近鄰復雜性。
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