模糊隱含 的英文怎麼說

中文拼音 [móhúyǐnhán]
模糊隱含 英文
fuzzy implication
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 糊 : 糊名詞（樣子像粥的食物） paste
  • 隱 : Ⅰ動詞（隱瞞; 隱藏） hide; conceal Ⅱ形容詞1 （隱藏不露） hidden from view; concealed 2 （潛伏的; ...
  • 含 : 動詞1 （東西放在嘴裏 不咽下也不吐出） keep in the mouth 2 （藏在裏面; 包含） contain 3 （帶有某種...
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 隱含 : implication
  1. 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。
  2. 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。
  3. 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。
  4. The method of automatic fuzzy rules extraction based on fuzzy bp net researches hidden key attributes through deleting redundant linking weight

    建立基於模糊bp網路的自動模糊規則提取方法，它通過刪除冗餘連接權的方法尋找到網路的隱含關鍵特徵。
  5. Although m & a in our country has gained comparatively full development, the phenomenon of target firm being priced vaguely and lacking scientific basis is not minority in the practice of m & a. the analysis of implied returns and costs is always easy to be neglected by the acquisition enterprises, which limits the efficient appliance of m & a to an extreme degree and thus affects the efficiency of the whole economic run

    雖然我國的企業購並已經取得了較為充分的發展，但是企業購並實踐中目標企業定價模糊、缺乏科學依據的現象並非少數，購並企業往往容易忽視目標企業中隱含收益及隱含成本的分析，從而在很大程度上限制了企業購並的有效運用，進而影響到整體經濟運行的效率。
  6. It is a process to find valuable information and knowledge hidden behind data and unknown from a lot of incomplete, noise, vague, random, real application data

    它是從大量的、不完全的、有噪聲的、模糊的、隨機的實際應用數據中，提取隱含在其中的、事先未知的但又是潛在有用的信息和知識的過程。
  7. Data mining ( dm ) aims at drawing implied and useful information / knowledge from massive incomplete, noisy, blurry, and stochastic real data ; while neural network is a frequently used tool for dm

    數據挖掘就是從大量不完全的、有噪聲的、模糊的、隨機的實際數據中發現隱含的、事先未知的潛在有用的並且最終可理解的信息和知識的過程。
  8. Data mining means the process of nontrivial extraction of implicit, previous unknown and potentially useful information and knowledge from the large amount, incomplete, noisy, fuzzy and random data

    數據挖掘，指的是從大量的、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。
  9. Data mining is the process of extracting hidden, unknown but potential useful information and knowledge from vast, incomplete, noisy, fuzzy and random datum. data mining technology is oriented to application

    數據挖掘是從大量的、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、事先不為人知的、但又是潛在有用的信息和知識的過程。
  10. The implied vagueness of tangshi and its translation

    唐詩的模糊隱含與翻譯
  11. Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data, which is deemed to one of a foreland of data mining system and a promising cross - subject

    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。
  12. Data mining is the process of abstracting unaware, potential and useful information and knowledge from plentiful, incomplete, noisy, fuzzy and stochastic data, which is deemed to one of a foreland of data mining system and a promising cross - subject. cluster analysis is one of the most important research domains of data mining

    數據挖掘是從大量的、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，被信息產業界認為是數據庫系統最重要的前沿之一，是信息產業最有前途的交叉學科。
  13. Multi - rules neural network learning part decreases the dimensions of attribute collection, to reach the goal of simplifying the input ; we stress the multi - rules learning algorithm based on fuzzy entropy rule ; at the same time, all the knowledge available is used to design the input layer, hidden layer and output layer of the neural network

    多準則神經網路部分對客戶屬性集進行維數約簡，重點介紹了以模糊熵準則為基礎的多準則學習方法，同時提出了網路輸入層、隱含層及輸出層的構造方法。
  14. Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy

    數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢
  15. Rough set theory is a powerful tool in deal with vagueness and irrelevant information. it can be used to reduce features and extract rules. in this paper, rough set theory is firstly applied to extract features of the power plant condenser

    粗糙集是一種處理模糊和不確定知識的數學工具，它的最大優點是無需提供除問題相關的數據集合以外的任何先驗信息，比較適合發現數據中隱含的、潛在有用的知識。
  16. Combining with the requirement of power enterprises " bidding in power market, in this thesis, several sorts of models for spot price forecast are proposed : based on historical price materials, from the point of time - serials analysis, models of fuzzy exponential flatness, linear remove and auto - regression, and mean generating function are constructed to probe the tendency and regulation hidden in price materials and to forecast spot price next day

    本文建立了以下實時邊際電價預測模型： （ 1 ）以歷史邊際電價資料為基礎，建立了模糊指數平滑、線性移動自回歸、基於均生函數的電價預測模型，通過探尋歷史邊際電價資料中隱含的邊際電價發展變化規律，對次日96點實時邊際電價進行預測。
  17. Control systems in modern automatic engineering are nonlinear, time - changed and indefinite. lt is difficult to model by traditional method, even sometime impossible. under these circumstances we should apply model identification to gain the approximate model of object for effective control, there are many models to be chosen, fuzzy model is one of them, it is put forward with the development of fuzzy control. fuzzy model has characteristics of general approximation and strong nonlinear, it is fit for describing complex, nonlinear systems. to avoid rules expansion when the number of input values are very big. in this paper we apply hierarchical fuzzy model to resolve this problem, we also illustrate it has general approximation to any nonlinear systems. genetic algorithm is a algorithm to help find the best parameters of process. lt has abilities of global optimizing and implicit parallel, it can be generally used for all applications. in our paper we use fuzzy model as predictive model and apply ga to identify fuzzy model ( including hierarchical fuzzy model ), we made experiments to nonlinear predictive systems and got very good results. the paper contains chapters as below : chapter 1 preface

    現代控制工程中的系統多表現為非線性、時變和不確定性，採用傳統的建模方法比較困難，或者根本無法實現，在這種情況下，要實現有效的控制，必須採用模型辨識的方法來獲取對象的近似模型，並加以控制，目前用於系統辨識的模型種類很多，模糊模型是其中的一種，它隨著模糊控制的發展而被人提出，模糊模型具有萬能逼近和強非線性的特點，比較適合於描述復雜非線性系統，為了解決模糊模型在輸入變量較多時規則數膨脹的問題，文中引入遞階型模糊模型，並引證這種結構的通用逼近特性。遺傳演算法是模擬自然界生物進化「優勝劣汰」原理的一種參數尋優演算法，它具有隱含并行性和全局最優化的能力，並且對尋優對象的要求比較低，在工程應用和科學研究中，得到了廣泛的應用，本文將遺傳演算法引入模糊模型的辨識，取得了很好的效果。
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