自模糊函數 的英文怎麼說

中文拼音 [zìmóhúhánshǔ]
自模糊函數 英文
autoambiguity function
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 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
  • 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
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 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
  1. In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved

    提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。
  2. On the basis of essential nonlinear characteristics in municipal wastewater biology treatment process, control strategy of fuzzy self - revised method based on neutral network is adopted and some different degree of membership functions which will influence on control error are compared in order to improve control prevision

    摘要針對城市污水生物處理過程存在的本質的非線性特性，採用了基於神經網路的模糊自校正方法的控制策略，同時為了提高控制的精度，比較了各種不同的隸屬度函數對控制誤差的影響。
  3. The above system realized the autogeneration of the membership functions and the control rules, greatly lessened the design period of the ventilation control system, and make it possible to on - line modify the control rules

    本文提出的神經模糊控制系統實現了公路隧道縱向全射流通風模糊控制模型隸屬函數和控制規則的自動生成，大大縮短了控制系統的設計時間，為通風控制系統的實時在線修改奠定了基礎。
  4. The effect of the profile of membership function and the defuzzification algorithm on the capacity of fuzzy controller is studied systematical, and a practical self - adaptive fuzzy controller is designed

    研究了隸屬度函數及解模糊演算法對模糊控制器性能的影響，設計了實用的自適應模糊控制器。
  5. It is applicable to various structural distribution networks. while resolving the " large area restoration ", the genetic algorithm execute three same and simple genetic operators : selection, crossing and mutating. it make a self - adaptable and probability overall searching under the leading of fitness value in the whole searching scale until acquiring the best result

    在求解網路故障后重構問題時，互動式模糊遺傳演算法通過循環執行相同的、極其簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下在搜索空間進行自適應概率性全局搜索，直至獲得全局最優解。
  6. An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages

    針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。
  7. This paper is based on the ocean science exploring ship of ocean 1. beyond the work of analysis of ordinary dynamic positioning ( dp ) fuzzy controller, research on auto area keeping when inputs contain errors that ca n ' t be neglected, energy as index function, is probed into

    本文以「大洋一號」海洋科學考察船為對象，在研究了「大洋一號」的普通動力定位模糊控制系統的基礎上，以能量為評估函數，對輸入中包含誤差情況下的自動區域保持控制方法進行了有益的探討。
  8. Thirdly, radiator performance test - bed thermal system control modeling and rule self - organizing fuzzy control simulation were studied. the water supply temperature, radiator inlet temperature, test room temperature based on water temperature regulation, air supply average temperature and test room temperature based on air temperature regulation total five controlled processes transfer function were set. finally, rule self - organizing fuzzy control simulation for two

    通過試驗，辨識了散熱器實驗臺熱工系統中供水溫度、散熱器進水溫度、基於熱水系統調節的測試室溫度、送風平均溫度及基於送風系統調節的測試室溫度共5個被控過程的傳遞函數，並對基於熱水系統調節和基於送風系統調節的測試室溫度響應過程進行了規則自組織模糊控制模擬。
  9. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  10. First, it applies fuzzy logical in the abstract and non - linear dealing ability ; second, it applies neural net in the self - study and any functions approaching ability ? through combining above two ability, it can find a best p i d non - linear controlling regularity and achieve controlling on line of the unknown subject etco therefore, it not only can strengthen robust and intelligence of the system, but also make design simple and easily be requiredo in addition, the thesis also does many works on procedure of upper - computer and basic - controller and the whole system designed can be put into work immediately

    根據啤酒發酵過程具有大慣性、時滯和非線性等特點，本論文還提出一種基於神經網路的模糊自適應pid控制方案，它一方面利用模糊邏輯的「概念」抽象能力和非線性處理能力，另一方面利用神經網路的自學習能力和任意函數的逼近能力，通過兩者的有機結合尋找一個最佳的p 、 i 、 d非線性組合控制規律，以實現對未知對象進行在線控制，並具備適應控制環境變化的能力和自學習能力等。
  11. Finally, based on the approximation capability of gengeralized multilinear fuzzy logic systems ( gmfls ), a new scheme of decentralized adaptive fuzzy controllers for a class of multiple - input - multiple - output nonlinear systems with a triangular matrix function control structure is proposed

    最後針對一類具有下三角形矩陣函數控制增益的多變量非線性系統，並利用廣義多線性模糊邏輯系統的逼近能力，提出了一種分散自適應模糊控制器設計的新方案。
  12. Firstly, based on a modified lyapunov function and the approximation capability of the first type fuzzy systems, two new design schemes of decentralized adaptive fuzzy controller for two class of similar multivariable nonlinear continuous systems with a triangular matrix function control structure is proposed in this paper, respectively

    本文首先對兩類結構相似的具有下三角形矩陣函數控制增益的多變量非線性連續系統，基於一種修改的李亞普諾夫函數，並利用第一類模糊系統（即具有線性可調參數的模糊系統）的逼近能力，分別提出一種分散自適應模糊控制器設計的方案。
  13. Point to above problems, under the financial support of the national natural science foundation ( exploration of high tech and new concept and new conceive ), the excellent young teachers program of ministry of education and national excellent doctoral dissertation special foundation, the static and dynamic real - time computation of elasticity - plastic mechanics, solving method of fuzzy finite element and other problems were studied in this paper. and some achievement was gained as following : ( 1 ) based on the positive definiteness of system stiffness matrix of finite element that was modified and the form of potential energy function of elastic body, the linear system of saturation mode ( lssm ) was introduced into the neural computation of finite element, by which the no - error solving of finite element neural net computation was realized in theory

    針對上述問題，在國家自然科學基金（高技術新概念新構思探索） 、教育部優秀青年教師資助計劃、高等學校全國100篇優秀博士學位論文作者專項基金等的資助下，本文對彈塑性力學問題的動靜態的實時計算、模糊有限元的求解方法等問題進行了系統和深入的研究，取得了以下成果： （ 1 ）根據有限元總剛矩陣經修正後具有正定性的特點以及彈性體勢能函數的具體形式，將飽和模式的線性系統（簡稱為lssm系統）引入到有限元的神經網路計算中，在理論上實現了有限元神經網路計算的無誤差求解。
  14. Avoiding the use of mathematic models, the fuzzy logical control ( flc ) system meets the control demands of the tunnel ventilation process well which is a nonlinear distribution system. but because of its lacking of learning and adaptive ability, many problems has emerged when using flc : the membership functions of the fuzzy variables cannot be changed, the fuzzy logical rules cannot be modified automatically when environmental variables such as traffic model, average exhaust, etc, are changed. for this reason, the paper uses fuzzy neural network control ( fnnc ) system to improve the control process

    模糊控制系統避開了數學模型，能很好適應公路隧道通風系統非線性和分散式參數特徵，但是模糊控制系統本身的學習和適應能力差，導致了模糊變量各語言值隸屬函數和控制規則不能隨著環境參數（如交通量、基準排放量等）的改變而自動調整和修改等問題，本文將具有強大學習能力的神經網路融合到模糊控制系統中，研究和探討了隧道通風模糊神經控制方法。
  15. In order to realize the fuzzy information processing method in weapons storage information system, the problems, such as how to abstract the appearance information automatically, how to decide parameter of membership function, are solved

    為在武器庫存信息系統中實現模糊信息處理方法，本文還解決了外觀信息自動提取、隸屬函數參數確定等問題。
  16. The dissertation refers to comparatively full literatures in the field of vsc, and the development history and characteristics of vsc are summarized, and the elementary concepts, elementary definitions, elementary properties, elementary principles and design methods are particularly introduced, and the causes of the chattering phenomenon are systematically analysed, and the study status of the chattering phenomenon and the main methods to eliminate the chattering are elaborated. for the deficiencies of traditionary methods, three improved methods are developed, which are improved exponent reaching law solution, variable boundary layer solution and the solution by adding an auxiliary continuous control term. for uncertain linear systems, an adaptive fuzzy integral variable structure control stategy ( afivsc ) is put forward to eliminate the chattering around the sliding plane, which introduces fuzzy logic to soften the non - linear discontinuous sig nal in the control variable and utilizes adaptive theory to adjust output membership function according to how much the uncertainty of the system is

    比較全面地查閱了關于變結構控制理論的文獻，總結了滑模變結構控制的發展歷史和特點，詳細介紹了變結構控制的基本概念、基本定義、基本性質、基本原理以及設計方法；系統分析了變結構控制系統抖振產生的機理，並闡述了國內外目前對抖振問題的研究現狀以及消除抖振的主要方法；針對傳統抑制和消除抖振方法的不足，改進了傳統方法，得到了三種新的消除抖振的方法? ?即改進的指數趨近律法、可變邊界層法和附加連續項法；針對不確定性線性系統，在變結構控制策略中引入模糊邏輯和自適應理論來消除滑動平面上的抖振，提出了一種自適應模糊積分變結構控制方案（ afivsc ） ，利用模糊邏輯來柔化控制量中非線性不連續部分，採用自適應理論，根據系統不確定性大小在線調整模糊輸出量的隸屬函數，另外，鑒于模糊控制本質上是有靜差的，所以本文選擇了帶積分項的切換函數，由於積分項的存在使系統較正為無靜差系統。
  17. The work of this dissertation is focused on research of some key technics in signal design and processing of mcpc signal. the main content of the dissertation is summarized as follows : it gives a detailed description of the form of the mcpc waveform and its mathematical model, and analyses the formation and properties of phase coded sequence. it discusses the effect of signal parameters on autocorrelation, power spectra and ambiguity function in forms of single pulse and pulse train and compares different kinds of single pulse signals and pulse train signals

    本文圍繞著多載波相位編碼信號在信號設計與信號處理的若干關鍵問題進行了研究，主要做了以下工作:描述了多載波相位編碼信號（ multicarrierphasecoded ，簡稱mcpc ）的信號形式，給出了其數學模型，對其中相位編碼序列的構成方式與特性進行了分析;從單脈沖和脈沖串兩種信號形式入手，對多載頻相位編碼信號的參數在自相關函數、功率譜密度和模糊方程上的影響作了詳細地討論，對不同調制方式的單脈沖和脈沖串信號進行了比較。
  18. The requirement on the sequence ' s auto - correlation was loosened after the research on ambiguity function. the candidate sequences were great broadened

    在仔細研究二進制編碼雷達的模糊函數的基礎上，放鬆了lpi信號對自相關的要求。
  19. Aiming to solve this problem, the work of the thesis is shown below : 1. the product ambiguity function ( paf ) - based adaptive time - frequency distribution is proposed. in specific, two adaptive methods for kernel design, the radon - paf based method and the paf - lag - varying filter based method, are presented

    本文針對這一問題開展了如下工作: 1 .提出了基於乘積性模糊函數的自適應時頻分佈，並給出了兩種針對線性調頻信號的自適應核函數設計方法，包括基於radon - paf濾波和基於paf時變濾波的方法，使得該時頻分佈能夠在增強時頻聚集性的同時抑制交叉項。
  20. 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。
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