隱含數 的英文怎麼說
中文拼音 [yǐnhánshǔ]
隱含數
英文
implicant-
Data mining, which has been considered as a important methods in the analysis of time series, received more attention came from boffin. data mining is a process which get the useful information from the vast 、 incomplete 、 noised 、 fuzzy and random data
數據挖掘技術是從大量的?不完全的、有噪聲的?模糊的、隨機的數據中，提取隱含在其中的?人們事先不知道的?但又是潛在的有用信息過程。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。In multi - step word problems, they were ' incorrectly translating unity number of the latent component quantity ", " misunderstanding the multiply signs as unity number ", and " misunderstanding division signs as a equal sign "
多步驟題型捉題之錯誤類型可歸納為： 1 .隱含元素的單位量轉換錯誤； 2 .將直接表徵為某一單位數； 3 .將二直接表徵為平分。This thesis tries to update the cmdsr system to achieve the characters below : real - time, better robust, higher recognition rate, non - special - man. considering the disadvantages of traditional improved spectrum subtraction speech enhancement, this thesis proposes the theory of fuzzy spectrum subtraction based on the fuzzy theory and improved spectrum subtraction speech enhancement ; as for the difficulties of detecting the endpoint of speech signal, the thesis gives the table of initial and the improved parameters, with which we can confirm the endpoints of mandarin digit speech ; the thesis puts forward two - level digit real - time speech recognition system, the first level is based on discrete hidden markov model which is linear predictive coding cepstrum ( lpcc ) and difference linear predictive coding cepstrum ( dlpcc ), the second level is based on formant parameters ; as for the realization of hardware, the thesis depicts the realization of every part of cmdsr based on the tms320vc5402 in detail ; as for the development of software, the thesis gives the software design flow chart of cmdsr, simulates the basic theory with matlab language and gives the simulation results
針對傳統的「改進譜相減法語音增強」參數設定單一、環境適應能力差的缺點，提出了一種利用模糊理論和「改進的譜相減法」結合的「模糊譜相減法語音增強」 ;針對語音信號端點檢測困難的特點，通過matlab模擬試驗，給出了能夠準確確定數碼語音端點的初始和改進參數表;提出了利用基於線性預測編碼倒譜參數和差分線性預測編碼倒譜參數相結合的離散隱含馬爾可夫模型進行第一級識別、利用共振峰參數進行第二級識別的兩級漢語數碼語音識別系統，在保證系統實時性的同時，實現連接漢語數碼語音識別系統識別率的提高;在硬體實現上，詳細闡述了基於tms320vc5402的連接漢語數碼語音識別系統各部分硬體設計;在軟體開發上，給出了連接漢語數碼語音識別的軟體設計各部分的流程圖，並對各部分進行了matlab模擬，並給出了模擬結果。An empirical analysis is made with the population data of the us cities to verify the theory and models developed in this paper, which will contribute to reconcile the apparent difference between the hierarchical step - like frequency distribution of city sizes suggested by central place theory and the smooth curve reflected by the work on the rank - size rule
多重zipf維數模型不僅可以有效地統一中心地的等級階梯與位序-規模法則反映的連續分佈，而且可以揭示城市體系演化的更多信息和隱含法則。以美國城市體系1998年的數據為實證對象，給出了城市規模分佈的多分維Data mining is an important research subject in the field of information technology. it means a process of nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases or datawarehouses. it involves such subject areas as database, artificial intelligence, machine learning and statistics. classification analysis is an important data mining problem
數據挖掘（ datamining ）是信息處理技術研究領域的一項重要課題。它是指從大型數據庫或數據倉庫中提取隱含的、未知的、非平凡的以及有潛在應用價值的信息或模式的過程。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。In the opinion of the article, the sweet fruit of mathematical teaching is n ' t the mathematical content which students have acquired directly in class but the mathematical thought and method behind the knowledge which students have had a true grasp and master, and improving the teaching of mathematical thought and method is the key of making the high school mathematical enducation modernizing. the article has adequately connected the theroy with the practice, it will make our maths teacher obtain revelation and enhancing, and play an important part to the mathematical teaching in high school
本文認為，好的數學教學成果不是課堂上直接教給學生的數學內容本身，而是使學生領會和掌握的隱含在課本內容背後的數學思想方法，加強數學思想方法教學是中學數學教育現代化的關鍵。本文很好地做到理論與實踐的結合，將對我們的數學教師有啟示與提高作用，對中學數學教學將產生積極的影響。With accelerating pace of science development, the demands on capability of large - scale information analysis are increasing. data mining is the process through which we can extract hidden but useful knowledge from half - backed, noising, fuzzy and random data sets
數據挖掘（ datamining ）就是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程。In the dissertation, we study the ecological relationship of plant communities. based on it, we not only study methodology of analysis of ecological relatioship, but reveal the ecology rules hiding in the disorder and vast and numerous data, which are aquired by a great lot of research
本文通過對植物群落生態關系的研究，不僅對生態關系分析方法進行了方法學研究，而且應用已建立的方法分析獲得的大量調查數據，揭示了隱含在雜亂浩繁數據中的生態學規律。Aiming at the relativity between repeated or similar samples and characteristic parameters during diagnosis of characteristic data, an effective data analysis approach for characteristic data compression from bi - direction is presented, which can reduce the burden of learning machine without losing the connotative characteristic knowledge of characteristic data
摘要對診斷特徵數據中重復或相似事例樣本和特徵參量之間可能針存在的相關性，提出一種有效的特徵數據雙向壓縮預處理方法，該法在不損失數據隱含的特徵知識的前提下，能有效降低學習機器的學習負擔。Recently years, there is a new optimization method named genetic algorithms ( ga ) which is based on the numbers of genus groups. this method is a kind of random searching method which simulated natural selection and evolution. compared with traditional optimization method, genetic algorithms has two notable characters. one character is latent parallel and the other is seaching in the whole area. and genetic algorithms has some advantage which traditional method do n ' t have, for example, in genetic algorithms we did n ' t need the calculation of grade
遺傳演算法[ geneticalgorithms ，簡稱ga ]是近些年來出現的一種模仿自然選擇與進化的基於種群數目的隨機搜索演算法，是優化領域的一個新成員。與常規優化演算法相比，遺傳演算法具有隱含并行性和全局搜索特性這兩大顯著特徵，並具有一些常規優化演算法所無法擁有的優點，如不需梯度運算等。( 4 ) we prove that shapes of ellipses obtained from the leading binomial of [ p are independent of the decomposing methods, and two ellipse equations removing their constants satisfy the same relation of transformation as two [ p curves under the perspective transformation
（ 4 ）證明了隱含多項式分解的首二次因子積所對應橢圓曲線的形狀與分解的方摘要法無關。如果兩條隱含多項式曲線滿足透射變換關系，那麼它們首二次因子積中的橢圓曲線方程去除常數項后也滿足這種變換關系。4. on original data arrangement of views, first, this paper discusses the instance of line overlap and gives the concept of hidden point, next, a method for breaking line is put forward by the means of handling two lines intersection, at the end, data check and correction is described through topological relationship between primitives and dimension set of drawing. to make a summary, from the viewpoint of practicality, the method of engineering drawing pre - processing proposed in this paper over comes traditional
4 .在視圖原始數據整理方面，首先討論了重疊邊的分解與重構方法;然後給出了隱含點的概念，通過對二維線段相交情況的處理分析了求取隱含點的斷線演算法;最後描述了如何利用實體的拓撲關系檢查輸入視圖中的錯誤以及利用工程圖中的尺寸集來校正這些錯誤。Implicit reference points need be made explicit
隱含的數據必須明朗化，明確指出參考點的性質。The operator and zuji properties do not warrant the accuracy, completeness, currency or reliability of any of the content or data found on this site and, subject to the statutory warranties below, expressly disclaim all warranties, terms and conditions, including all implied warranties, terms and conditions of merchantability, satisfactory quality, fitness for a general or particular purpose and non - infringement of proprietary rights, and those arising by statute or otherwise in law or from a course of dealing or usage of trade to the fullest extent permitted by the laws of the territories
在盡地域內的法律準許的范圍內，該經營商及zujiproperties概不保證本網站出現的任何內容或數據準確、齊全、有效或可靠，而在受以下法定保證規限下，明確免除一切保證、條款及細則，包括商售性、合格品質、適合普遍或特定用途及不侵害專利權利、藉成文法或其他法例、交易過程或運用貿易而產生的權利等一切隱含保證、條款及細則。( 3 ) the methods of determining the degree of ii ? curves based on the boundary of objects and tightly fitting objects with ip curve are proposed. the algorithms would help to fit and describe objects automatically by computer
這為計算機自動選取適當次數的隱含多項式曲線擬合與描述物體提供了依據，同時減少了圖像物體識別中人的參與。Because these datu are too large and discrete, it is a difficult and complex task to analysis categorize, index and look up them with traditional artificial methods. and it is more difficult to research into the implicit laws which hide in quality control and management. so, to explore the enterprise ' s information resources efficiently is impossible, and the quality of production can not be pledged well, not to mention make decision - making scientifically
眾所周知，在水泥生產製造過程中，會產生大量的質量數據，但由於這些數據類繁、量大且分散，以至傳統的人工處理方式對其進行分析、歸類、檢索和查找成為一項艱巨復雜的工作，更難于揭示歷史數據中所隱含的質量控制和管理規律，從而難以對企業質量信息資源進行充分開發利用，致使企業產品質量難以提高，嚴重地影響質量決策的科學性。Web data mining has been combined with electronic commerce on this occasion. it is a new branch of data mining and focuses on the research in the internet on how to find out all implicit knowledge modes among all kinds of data including web logs, user register information, web page etc, and on how to gain some predictive information
Web數據挖掘就在這樣的背景下與電子商務結合在一起，它是在internet出現后產生的數據挖掘一個新的分支，主要研究在internet網路上，對各種數據源，如web日誌、用戶登記信息、頁面內容等，利用數據挖掘技術尋找網路上數據間各種隱含的知識模式和獲取一些預測性信息。Signs meaning the letter " b " the image of its brand name reflects the concept of implied figure " 1 " image, demonstrate pioneer enterprises, the development of science and technology concepts, circular implies the sun, reflected the industrial enterprises, but also demonstrates the concept of enterprise globalization ; tilted, and rapid development of a vibrant enterprise reflects the trend
標志內涵字母「 b 」的形象，體現出其品牌概念，隱含數字「 1 」的形象，體現出企業敢為人先，科技發展概念，圓形寓意太陽，體現企業經營的行業性，又體現出企業經營全球化概念；傾斜、充滿動感體現企業飛速發展趨勢。分享友人