fuzzy language 中文意思是什麼
fuzzy language
解釋
模糊語言-
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。 -
Fuzzy control does not need to know accurate mathematic model of some object. it is based on human thinking and producing experience ; and it applies language rule to describe controlling process and bases rule to modify the controlling arithmetic and parameter
模糊控制事先不需要獲知對象的精確數學模型，而是基於人類的思維以及生產經驗，用語言描述控制過程，並根據規則去調整控制演算法或控制參數。 -
By utilizing expert experience and language information, analyzing, modeling and control of many industrial complex plants can be handled effectively by fuzzy control technology, which otherwise will be very hard by approaches of traditional control theory, if not impossible. in addition, these complex plants can be controlled easily even without exact mathematical models, so fuzzy control has become a popular topic for analysis and design of complex nonlinear systems
傳統控制理論難以解決復雜非線性系統分析、建模與控制問題，而模糊控制技術由於能夠方便地利用專家經驗及語言信息，甚至無需建立系統數學模型即可對系統進行控制，目前已逐漸成為復雜非線性系統分析與設計所採用的主要方法之一。 -
The main work included : the classical lambda calculus was modified to describe the character of dynamic fuzzy ; the abstract syntax of dfl programming language was described through bnf notation ; an operational semantics model of dfl programming language was proposed with a ternary array < dfsc, dfo, dfss > and then some basic data types and several mechanisms of constructing new data types were defined ; the frame of dfl progaramming language was provided ; it was described how to solve some problems applying the operational semantics model ; the correctness and reliability of the operational semantics model were proved by hoare logic and denotational semantics
主要內容包括:變形傳統的演算，以更好地描述具有動態模糊性的問題;通過bnf描述了dfl程序設計語言的抽象語法;通過一個三元組< dfsc ， dfo ， dfss >給出了dfl程序設計語言的操作語義模型;給出了dfl程序設計語言的基本框架結構;給出了該操作語義模型的一些應用實例;通過hoare邏輯和基本指稱語義對本文所定義的操作語義模型的正確性和可靠性進行了證明。由此可見，本文從全新的角度定義了一種可以處理動態模糊問題的程序設計語言。 -
The acquisition, expression and application of fuzzy knowledge were fulfilled through fuzzification of photothermal traits, establishment of fuzzy logic rules, fuzzy language and inference etc. the goodness of fit to practical situation is up to 92. 4 %
該系統通過對光溫特性的模糊化、模糊邏輯規則的制定、模糊推理及解模糊等過程，完成了農業模糊知識的獲取、表達和運用。經檢驗，該系統與實際情況的吻合度達92 . 4 。 -
On fuzzy language and its pragmatic functions
模糊語言及其語用功能 -
Analysis of the exertion of fuzzy language in television news
試析模糊語言在電視新聞中的運用 -
On the flexible function of fuzzy language
論模糊語言的彈性功能 -
Probe into the translation of fuzzy language
模糊語言翻譯研究 -
On fuzzy language and polite principles
論模糊語言與禮貌原則 -
Fuzzy language has its unique charms in verbal communication
模糊語言在言語交際中具有獨特的魅力。 -
Fuzzy language in verbal communication amp; amp; its pragmatic analysis
言語交際中的模糊語言及其語用分析 -
The above two paragraphs really express the same principle, but in more deliberate and less fuzzy language
上述兩段實際上表達的是同樣的原則，只不過使用了更加慎重、更加明確的語言。 -
Results are reported on the inference of a fuzzy language. evolution algorithm and gradient decent algorithm are combined to the grammar inference
通過實驗證明該策略是有效的，從而為自動機的推導提出了一種新方法。 -
Fuzzy mathematics will grow along two directions in the future : first, it will research the inner rule of fuzzy character, i. e the fuzzy language and fuzzy logic
模糊數學將沿著兩條途徑發展：一方面是研究模糊性的內在規律，也就是探討模糊語言和模糊邏輯。 -
Up to now, there has been ten years for the research of dynamic fuzzy logic ( dfl ) and a series of achievements have been made. in order to further expand the applications of dfl, this thesis followed dijkstra ’ s guarded commands and put forward an operational semantics model of dfl programming language which can solve dynamic fuzzy problems
動態模糊邏輯（ dfl ）的研究已有十年的時間了，目前已取得了一系列研究成果，為了進一步拓展這些研究成果的應用，本文借鑒dijkstra的監督命令程序結構，通過結構化操作語義描述方法從軟體理論方面進行研究，提出了動態模糊邏輯程序設計語言（ dflprogramminglanguage ）的操作語義模型，以期形成解決動態模糊性問題的程序設計方法。 -
The system emphasized on attempting to applying fuzzy in the automatic - controlling technology of greenhouse environmental parameters. fuzzy controll is based on the theory of fuzzy mathematics, fuzzy language, fuzzy logical, and adopt digital controlling from which use of computer technology and has feedback and structure
本系統研究的重點是模糊控制演算法在溫室環境參數自動控制系統中的嘗試應用。模糊控制是以模糊數學、模糊語言形式的知識表示和模糊邏輯的規則推理為理論基礎，採用計算機技術構成的具有反饋閉環結構的數學控制形式。 -
This paper starts form the analysis of the language features of business english the coexistence of fuzziness and exactness, and discusses the negative and active function of fuzzy language in business writing, and how to use it properly in business english
摘要模糊性是經貿英語文體的重要特徵之一，模糊語言在經貿英語寫作中有消極和積極作用，在經貿英語中應恰如其分地運用好模糊語言。 -
This algorithm recovers the absence of the empiric in the case of the fixed - topology network and generates an optimal topology automatically. we end this chapter with some problems in the future. in chapter 2, we present an evolution strategy to infer fuzzy finite - state automaton, the fitness function of a generated automaton with respect to the set of examples of a fuzzy language, the representation of the transition and the output of the automaton and the simple mutation operators that work on these representations are given
目前，國內外對神經網路與自動機的結合的研究己取得了一系列成果；在第一章，我們首先將對這些結果以及這個領域的研究思想與方法做一個概要的介紹；然後提出一種推導模糊有限狀態自動機的構造性演算法，解決了模擬實驗中所給出的具體網路的隱藏層神經元個數的確定問題；在實驗中，我們首先將樣本輸入帶1個隱藏層神經元的反饋網路訓練， 150個紀元以後增加神經元，此時的新網路在124紀元時收斂；而blanco [ 3 ]的固定性網路學習好相同的樣本需要432個紀元。 -
The knowledge bases system in this expert system is self - contained system, which not only can store the accurate numerical knowledge and the fuzzy language expression knowledge accurately and conveniently, but also fuzzy continuous knowledge and dispersed knowledge effectively. it solved the problem of the store of subjection function and domain in the database, not concerning the type of the database
這種表示方法具有完備性，根據它建立的知識庫不但能準確、方便的存儲精確的數值型知識和模糊語言表示的知識，而且能有效的表示、存儲模糊的連續型知識和離散型知識，既解決了隸屬函數和論域在數據庫中存儲的問題又不依賴于具體的數據庫系統。
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