自推進模型 的英文怎麼說
中文拼音 [zìtuījìnmóxíng]
自推進模型
英文
self-propelled model- 自 : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
- 推 : 動詞1 (向外用力使物體移動) push; shove 2 (磨或碾) turn a mill or grindstone; grind 3 (剪或削...
- 進 : 進構詞成分。
- 模 : 模名詞1. (模子) mould; pattern; matrix 2. (姓氏) a surname
- 推進 : 1 (推動工作 使前進) push on; carry forward; advance; give impetus to 2 [軍事] move forward; dri...
- 模型 : 1 (仿製實物) model; pattern 2 (制砂型的工具) mould; pattern3 (模子) model set; mould patter...
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On the basis of the study on the speech coder algorithms, paper describe an advanced method of developing dsp system software, and as the guidlines, we developed the programme of whole decoder unit. paper stress on analysis of the ecu in decoder unit. aiming at amr algorithms disadvantage of angularity of synthetical speech, paper study on the specutral extrapolation which apply to extrapolate reflect coefficient of track model to make error conceal processing of amr. at last paper analyze existing echo cancellation algorithms using on mobile communication system
在此基礎上,描述了一種較為先進的大型dsp系統程序開發策略,並以此為指導思想,以美國ti公司c6000dsp開發平臺開發出了整個amr解碼器單元的系統程序。論文對amr解碼器的誤碼隱藏處理單元進行了重點分析,針對原有演算法合成語音自然度不好的缺點,論文研究了將譜外推法應用到amr演算法中外推出聲道模型反射系數參數進行誤碼消除處理。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。In this dissertation, through computer simulation, the problems of modeling, control and guidance of auvs are presented. the first part of this dissertation addresses the problem of dynamically modeling of auvs, and derives thrusters " two - dimension nonlinear dynamic model, which has axial flow speed and propeller rotational velocity as two state variables, voltage or current of motor as inputs, and thruster force and torque as output. the second part focuses on the nonlinear adaptive sliding mode control of auvs in diving plane and steering plane
本論文系統研究了自主式水下航行器的建模、非線性自適應滑模控制、以及深度調整和水平面導引方法等問題,具體成果和創新點如下1 、根據流體力學理論,建立了螺旋槳推進器的動態模型,它以螺旋槳來流速度v _ p和螺旋槳轉速n為狀態變量,以電機施加轉矩為輸入,螺旋槳推力t和轉矩q為輸出。For example, it can enter human body to inspect inner organ, deliver drug to assigned spot and operate local body surgery. supported by the nation nature science foundation of mechanism, structure and control study on swimming micro robot in liquid ( item no. 69885002 ) and guangdong province science foundation of research on swimming micro robot in liquid ( item no. 980402 ) and guangdong province education department foundation of research on micro pipe robot driven by liquid self energy ( item no. 010043 ), this dissertation mainly study on the designing and manufacturing of swimming micro robot and its swimming performance, building up and analysing the dynamic model, natant problem of swimming micro robot and controlling the swimming velo city
本論文得到國家自然科學基金項目「泳動微機器人的機理、機構和控制」 (項目資助號: 69885002 ) 、廣東省自然科學基金項目「液體中泳動微機器人的研究」 (項目資助號: 980402 )和廣東省教育廳基金項目「基於流體自身能量的微管道機器人研究」 (項目資助號: 010043 )等的資助,主要對在液體中運動微機器人的國內外研究現狀、水生生物推進機理及其對泳動微機器人研究的借鑒和啟發作用、泳動微機器人的設計與製作、微機器人動力學模型的建立與分析、微機器人的自主浮遊與泳動速度控制等方面進行了大量的理論與實驗研究。During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,
Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面:實現了基於用戶興趣的用戶模型,該模型通過與用戶的交互(主動交互和被動交互) ,不斷地接收用戶的興趣和推測用戶的興趣,積累用戶信息需求的偏好,實現自適應的檢索;提供了一種基於人機交互的反饋方法,對用戶在結果呈現界面上的操作進行了歸納總結,設計了用戶操作捕獲演算法, 「隱性地」學習用戶興趣和偏好的變化;提供了一種用戶需求挖掘的方法,對用戶已確定的信息做進一步的主題挖掘,由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣;在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案,該方案以用戶興趣模型為中心,以機器學習(主動學習和被動學習)和數據挖掘為手段,輔以網路機器人,具有很強的可行性和實用性。Engineers have yet to solve fundamental problems involving robotic perception and world modeling, automated reasoning, manipulation of objects and locomotion
工程師還有很多根本的問題尚未解決,包括機器人的知覺、如何建立周遭環境的模型、自動推理、物品操作和行進方式等。In this paper, we take a way which realizes this constraint by a nonlinear method and generalize the chiral effictive model to su ( 3 ) including the baryon octet. by this means, we obtain the chiral symmetry spontaneous breaking lagrange density which depicts the strong interactions
本文採用對這一條件進行非線性實現的方法將手征自發破缺的等效模型推廣到su ( 3 )模型,即重子八重態,得出描寫強相互作用的手征自發破缺的lagrange密度。This paper is an academic thesis about remote sensing information model and geographical mathematics. the author have studied a lot of remote sensing information models and geographical image information models. according to geographical regularity the author advance non - linear mathematics method which is geographical complex phenomena both of certainty and uncertainty to combine in an equation. that is from formal logic inferring to dialectical logic calculation. moreover, it is from abstract thinking to both of abstract and visualized thinking, which is image joining equation calculated. make a suggestion that the geographical parameters are different from the physics variables. thus initiate based on geographical science for mathematics. there are 4 parts as follows in this paper : the regularity of geographical phenomena ; general equation of remote sensing information model ; geographical parameters and geographical indexes ; significance of geographical image information models
從大量的遙感信息模型,地理圖像信息模型的實踐中,提出符合地理科學自身規律的非線性數學方法,解決了確定性與不確定性結合的宏觀復雜性問題。從形式邏輯推理發展到辯證邏輯的計算,從抽象公式的計算發展到抽象思維與形象思維結合的公式與圖像結合的計算。提出了物理變量與地理參數的區別,從而開創了以地理科學為背景的數學研究,進而為發展地理數學奠定了基礎。Abstract : this paper an outline of the national fund project, bridges " s safety prediction and behavior simulation under the multi - phase coupling actions by flood water. the authors approach coupling action models among solid, liquid and gas states, while discussing bridge rupture features under these coupling actins. as one important problem of the project, physical and simulation model are discussed too in the paper. all the discussion in the paper can be a guide to deep research of the project
文摘:本文系國家自然科學基金資助項目《橋梁抗禦洪災異相耦合破壞作用的安全性預測與模擬》研究綱要的縮影,筆者對災害伴生過程中各物相(固態、液態、氣態)之間耦合作用形態及對橋梁破壞性認識,以及對耦合作用物理模型、模擬模型的初步探討,以期為該項目研究的展開和向縱深推進提供借鑒The paper build a model of electric ship power system, include the model of motor and generator derived from simulink, the model of propeller build by the author, the model of load flow. after the process of model simulation, the dynamic curve of electrical ship were drawn out
應用simulink已有的電機模塊,再自行建立螺旋槳的simulink模型,結合數據庫模塊和用戶自定義的s函數模塊,建立了電力推進船的船?機?漿匹配模型,並進行了模擬計算和動態特性模擬,並進行了模擬結果分析。The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method
本文具體內容安排如下:第一章介紹了信用、信用風險、信用評價的概念,回顧了信用評價的歷史、發展和現狀,並綜合各種信用評價模型,指出這些模型各自的優缺點:第二章簡單描述了人工智慧技術,著重介紹有關專家系統與神經網路的基礎知識,通過總結它們的優缺點,指出結合專家系統與神經網路構造混合型專家系統的必要性;本章還介紹了神經網路子模塊的概念,提出了混合型專家系統的一般框架與設計步驟:第三章對樣本數據進行處理,包括異常數據的剔除、因子分析等,提出了信用評價混合型專家系統的具體框架結構,介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法;第四章介紹了面向對象技術,進而採用面向對象對信用評價系統進行分析,建立了對象模型和功能模型,並在此基礎上,採用c + +語言以規則類為例說明系統中具體類的實現,用偽代碼的形式描述了推理的演算法;第五章描述了整個系統的結構,對系統主要功能模塊和界面進行了介紹,並總結系統的特點;第六章總結了全文,指出本文所構造系統存在的不足以及對將來的展望。Relative key concept and technique of this method was described in detail in this paper, such as the decomposition of balance matrix, the modes of self - stress, the modes of inextensional mechanisms, the analysis model of optimization under linear constrained condition, the integration of constrained matrix
文中對桁架理論的奇異值分解法、自應力模態、機構位移模態、有約束線性優化數學模型、約束矩陣集成等關鍵概念和技術進行了詳細的推導說明。After analyzing and study two transitions of map to spatial data and spatial data to map, the author thinks the spatial data capturing is a loss map information process, and for map production firstly symbolize from spatial data, then reinforce the map information. the map production model ( mpm ) is the summary of all kinds of map production. the integration model is the best model in mpm and it infers that " spatial data first, map second " is the production process
提出了「靜態數字制圖」和「動態數字制圖」的概念,論述它們各自特點和研究方法,並提出地圖制圖和空間數據生產都屬于「靜態數字制圖」 ;通過研究地圖和空間數據的相互轉換過程,發現空間數據生產是地圖信息損失的過程,根據空間數據來進行地圖生產必須先實現地圖符號化,然後再進行地圖信息的補充處理;本文提出的「地圖生產模型」是現有各種數字化生產模式的基礎,從理論上論證了一體化生產模式是最優模式,推導出「先空間數據生產,后地圖出版」的一體化生產流程,並歸納總結了當前數字化生產的4種基本生產模式和9種應用情況。The thesis had done the theories analysis in detail and built the relevant mathematics models aiming at the mechanics characteristic about the lodging of stalk, the elastic and plastic deform of stalk under the action of the transverse loads, the mechanics condition which causes stalk pushed, the relation between the speed of unit and the surface radius of ski, the relevant location between the thickness of the compressed stalk and action location of load, the relevant location between the mating device and plough, the coefficient of overturning soil under the thickness of the compressed stalk and so on. in addition, the computer aided analysis and simulating experiments in field were acted by choice
本文對秸稈自倒伏力學特性;橫向載荷作用下的莖稈彈塑性變形與秸稈被推倒的力學條件;機組作業速度與滑撬曲面半徑的關系;秸稈壓實厚度與加載作用點的相對位置;配套裝置與犁體相對位置;秸稈壓實厚度下的翻垡系數等,進行了較詳細的理論分析並建立了相關數學模型。在此基礎上,本項研究還選擇性地進行了計算機輔助分析和田間模擬試驗。Based on the theory of piecewise - linear, the paper carries through the research of model self - adaptive control to electric arc - furnace electrode regulator system ( eafers ), and the digital self - adaptive control law of reference model is deduced. then, we designed the software simulation system of eafers according to the law, though which we studied the character of eafers. finally, a set of physical model of eafers, which is realized by hardware circuit, is designed according to the former research
本文首先應用分段線性化理論,對電弧爐電極調節系統的模型參考自適應控制演算法進行了研究,推導出全數字化的模型參考自適應律;然後根據推導出的自適應律成功的設計出了的軟體模擬系統,用軟體對電弧爐電極控制進行了模擬研究;最後利用電子電路構造出一套完整的電爐煉鋼電極控制硬體模擬系統,對電爐電極調節進行了實驗室電路模擬研究。On the basis of the magnetic circuit structure analysis for the particularity of the structure and the magnetic circuit of the double - stator hybrid direct drive motor ( dshbddm ), the mathematical formula for the important parameters - self - inductance and mutual - inductance of the winding for dshbddm was derived in detail by using the method for the simplified magnetic network model and the characteristic was analyzed
摘要針對串聯磁路結構雙定子混合式直接驅動電動機結構和磁路的特殊性,在分析電機磁路結構的基礎上,利用電機的簡化磁網路模型,詳細推導出串聯磁路結構雙定子混合式直接驅動電動機的重要參數繞組自感與互感的數學表達式,並對其特性進行了分析。There are many sorts of the modern dredgers, to adapt the various working regions, and soil conditions etc. it is inevitable to select to build the large self - propelled trailing suction hopper dredgers for shanghai channel bureau, because of the developments of the big - scale ports and channels at home and abroad, and the bad working conditions offshore, and the business direction
現代挖泥船有各種類型,它們適用於不同的施工區域與土質等工況條件。世界與國內港口航道的發展愈來愈體現出規模大,向外海推進和施工條件惡劣的特徵,從上海航道局的企業經營定位出發,建造大型自航耙吸挖泥船是首選方案。Abstract : according to the characterestic of resistance furnace temperature control, temperature rising one - way control, large time delay and time - variation of parameter, using method of fuzzy compositional rule of inference establish fuzzy model and design fuzzy cntroler. in order to increase control system precision, it gives a fuzzy variable k, and sets parameter self - adjusting fuzzy control system. this system can on line self - adjusting controller parameters according to the error and variations of the error. it makes the system steady precision improved
文摘:根據電阻爐溫控制的特點,即只有升溫單向控制、滯后較大且具有參數時變性,利用模糊推理合成法建立模糊模型並進行模糊控制器設計,為提高模糊控制的精度,引入模糊變量k ,構成參數自調整模糊控制系統.該系統可根據誤差和誤差變化在線自動調整控制器參數,使系統的穩態精度得到改善Furthermore, utilizing the characteristic that filtering error covariance expresses filtering precision and the principle of information conservation, the dynamic and reasonable distribution of distributed tracks weight coefficient is accomplished. jerk model and strong tracking filter is organically assembled, and based on spatio - temporal synthetically analysis and lme, a self - learning estimation method of the system measurement variance is given. the method improves obviously the
3 、將jerk模型與強跟蹤濾波演算法有機地結合,並利用時空綜合分析和極大似然估計的思想推導出了一種系統量測方差自學習修正方法,以優化強跟蹤濾波演算法中次優漸消因子和濾波增益的在線選擇,同時根據多傳感器數據融合具有改善濾波精度的性質,進而給出一種基於jerk模型的多傳感器數據融合演算法。But all the models of neural networks before are assumed that self - feedback is linear which can not reflect the essentiality of the neural networks. so in chapter two of this paper, the self - feedback is improved and can be nonlinear. moreover, basic features of this kind of neural networks are investigated
但是以往所提出的該類神經網路模型都假設自反饋項為線性的,不能真實的反映其本質,所以在本文的第二章將對原有的動態神經網路模型進行推廣,並研究推廣模型的一些基本特性。分享友人