最可能誤差 的英文怎麼說
中文拼音 [zuìkěnéngwùchā]
最可能誤差
英文
most probable error-
At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel
首先，系統分析了影響黃河水位的水沙因素，及僅用水沙因素有效研究水位的可行性，並按變量對應思想採集它們的相應數據；其次，由於相應水位過程數據中含極強的非線性關系，本論文經細致的理論分析，將基本的非線性分析方法、統計建模方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合，提出了能有效實現這類數據高精度擬合的分層篩選法，並改進了統計學中多因子（三個以上）方差分析法；再次，將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合，實現了這一典型非線性關系的高精度擬合，各年汛期上下游相應洪水位過程的擬合誤差都較小；最後，明確黃河下游含沙量對水位的主要影響方式，即含沙量主要是與其它因素聯合對水位作用；另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進方向。We can use the mm5 model in definite time, definite area weather forecasting. we conclude that : : the moving route of this necw in its developing progress was direct - south along latitude, the cold air is rough, and just this made the rough vertical velocity ; the necw southern moving and conflicting with the west pacification sub - tropical high makes rough jet steam. the plenty south - west warm and wet air made by the jet stream gave the rainstorm demanded vapor ;. the rough vertical velocity by jet stream is a main reason in this rainstorm ; the mm5 model uses four - direction analysis data as its input, this avoids some errors occurred in observe and transfer, thus made the result more useful
綜合分析認為： （ 1 ） 、這次冷渦在其發生發展過程中，其移動路徑是沿經圈直線南壓，攜帶的冷空氣勢力較強，形成槽后較強的垂直運動； （ 2 ） 、西太平洋副熱帶高壓偏北位置與東北冷渦南壓形成的急流軸，把源源不斷的西南暖濕氣流輸送到遼西地區，也就是急流軸的左前方位置，為這次暴雨的產生提供了充足的水汽來源； （ 3 ） 、低空急流不但為暴雨輸送水汽，其造成的較強的垂直環流也是產生強降水的一個主要原因； （ 4 ） 、 mm5模式以四維同化資料作為初始場，最大限度地避免了觀測誤差可能造成的積分不穩定，提高了模擬結果的參考價值。In this paper, the main research works are as follows : 1 ) survey and analysis previous work in auv navigation and summarize : as the cumulate error, the dead - reckoning and inertial navigation systems ca n ' t be used without other modified system ; the acoustic navigation system is used only in small range, and is very expensive. 2 ) two important approaches in geophysical navigation techniques are summarized, one is terrain contour based navigation, this approach is investigated keystone today ; the other is image based navigation, due to no perfect image sensors and image seabed map, this approach has seldom been practised. 3 ) two important terrain contour based navigation algorithms has been applied to auv, one is match algorithm - based terrain contour match ( tercom ) ; the other is kalman filter - based sandia inertia terrain - aided navigation ( sitan )
主要研究內容包括：一、總結分析了當前水下導航的常用方法和不足之處，指出基於航位推算的導航方法，存在著最大的問題就是導航誤差的積累問題，如果沒有修正系統，這種方法很難滿足使用要求；其次指出基於聲學的導航方法，造價昂貴，導航范圍有限，難以滿足自主水下航行器大范圍導航的需求；二、總結了當前水下地形輔助導航的主要技術路線，一是基於地形高程的匹配方法，這是當前研究的重點；二是基於地形圖像的匹配方法，由於缺乏良好的圖像傳感器，和可用的海底圖像地圖，目前這種方法還有待研究發展；三、將兩種地形高程匹配的常用方法應用到自主水下航行器上：以相關演算法為前提的地形輪廓匹配（ tercom ）方法和以卡爾曼濾波為基礎的桑迪亞慣性地形輔助導航（ sitan ）方法，前者演算法簡單可靠，但是導航精度不高，後者雖然精度比較高，但存在著演算法較為復雜、有可能發散和出現奇異值等問題。Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas
與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems
在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用In this paper, the drive theory of the large ratio friction transmission is studied ; a new type elliptical cam wave generator is designed ; the large ratio friction transmission prototype is designed and manufactured ; based on the ansys finite element method software, structure of the elliptical cam is analyzed ; precision index of the manufactured large ratio friction transmission prototype, such as transmission accuracy, least step, stability of the least step, load capacity is measured by the absolute rotary encoder. by analyzing the measurement data and research content, it is think that the new elliptical cam wave generator could overcome a good many problems brought by processing errors, facilitate size precision adjustments, input moment can be achieved in the form of a pure force couple importing ; through this study, " the large ratio friction transmission prototype " could apply in practical engineering basically
本文研究了大速比摩擦傳動的傳動理論;設計了新型橢圓凸輪波發生器，設計製作了大速比摩擦傳動樣機;用軟體ansys對所設計的橢圓凸輪結構進行了有限元分析;用19位絕對式編碼器測試了大速比摩擦傳動機構的傳動精度、最小步距、最小步距的穩定性以及帶負載能力等各項精度指標;對測量數據和研究內容進行了歸納和整理，認為新型橢圓凸輪波發生器克服了加工誤差帶來的諸多問題，新型橢圓凸輪波發生器可以進行尺寸精度調整，能夠達到輸入力矩以純力偶的形式輸入;通過本項研究，基本可以使「大速比摩擦傳動機構」在工程中得以應用。In order to improve generalization capability of feedforward neural networks, the convinced networks generalization domain should be guaranteed to be close to networks input domain as maximal intrinsic error of networks output and maximal samples error are reduced by increasing hidden neurons in number in the progress of networks learning, otherwise generalization capability of feedforward neural networks is likely to be decreased
為了提高網路的泛化性能，從理論上分析指出，在網路學習過程中通過增加隱含層神經元來降低網路最大固有誤差和最大樣本誤差的同時，要求確保網路泛化定義域盡可能接近網路輸入定義域，否則將有可能降低網路的泛化性能。Comparing and analyzing the synchronous control strategy, which brings up the new method to control the double un - symmetry jars proceed synchronously with the combination of proportional valve and servo valve, which forms closed loop control ; basing on the above methods, models are made to get mathematics models of position control system and to analyze system model theoretically by using pid controller, we can realize regulating parameters, minimizing synchronous errors and enhancing the dynamic performances ; the simulink tool box in matlab software is used to imitate the system according to the model, which not only makes the result visual and easy to adjust the parameters in interactive way but also lets us understand the effects of different parameters and optimizes the dynamic properties. the theory of plc control in dshp is discussed after advanced understanding of the system movements. hardware design and general regulation are given on the base of siemens company products s7 - 200 plc
本文根據大量的國內外文獻，對研配液壓機的工作原理及設計結構進行了簡介；對位置同步的控制方法進行了比較分析，提出比例閥和伺服閥復合控制的閉環結構來對非對稱雙缸進行同步控制電液比例同步控制方案；在此基礎上著重對比例閥控非對稱缸建模，最後得到位置控制系統的總體數學模型，從理論上對同步系統動態特性進行了分析，並用pid控制器進行參數整定，減小雙缸同步誤差、提高系統的動態響應性能；其中控制性能的分析藉助于matlab軟體中的simulink工具箱，由已建立的數學模型形成模擬模型，得到可視化的模擬結果，從而利於交互方式下調整參數，了解不同的參數對系統的影響，優化同步系統的動態性能；在深入了解系統的動作特性后，對plc控制研配液壓機的原理進行了探討，針對siemens公司s7 ? 200型plc給出了硬體設計的總體規劃，編制出研配液壓機動作控製程序，在編程中著重研究位移傳感器與plc的通訊、雙缸同步運行的pid控制在plc上的實現及bcd碼撥盤輸入程序的植入問題。Performance for a piezoresistive transducer pressure sensor to thermal and pressure environments can be predicted by finite element method. a simplified 1 / 8 model, considering silicon dioxide and nitride process as well as stack anodic bonding and adhesive bonding processes, was developed. the fem results were found to be comparable to experimental data. case studies suggested that pyrex stack induces certain amount of non - linearity, while it isolates hard epoxy nonlinear effect. flexible epoxy bonding or soft adhesive bonding is preferred to the packaging process. the viscoelasticity and viscoplasticity of bonding material will result in hysteresis and drift errors to sensor output. however, soft adhesive s influence on sensor can be ignored under relative stable environments. more over, detailed design and process information will help to improve modeling application
熱、壓環境下壓阻變換壓力傳感器的性能可以通過有限元方法預測.這里研究了簡化的1 / 8模型，模型考慮了二氧化硅和氮化硅生成過程及堆陽極鍵合和膠粘結合過程.結果發現有限元預測結果和實驗數據具有可比性.範例研究表明，硼硅堆導致產生一定的非線性，但它隔離了硬環氧樹脂的非線性.在包裝過程中最好使用柔性環氧黏合或軟黏膠性結合.黏合材料的黏彈性和黏塑性將會導致傳感器輸出的滯后和漂移誤差.然而，在相對穩定的環境下，軟黏合劑對傳感器的影響可以忽略.此外，詳細的設計和過程信息有助於提高模型的適用性A general stack equation of mobile robot based on analyzing the motion of planar motion object and the mathematical models of four different kinds of common wheels is developed, accordingly, the mobility of mobile robot is addressed and the forward and inverse solutions to speed for specific configuration driven by differential speed are derived. utilizing the muir and newman convention, the description of the posture transformation matrices between different coordinate frames and the solution for the speed of point located on these frames are introduced. according to posture estimation, a more accurate method, dead reckoning algorithm, is developed for a specified configuration characterized by differential speed motorization, and simulations of this algorithm and other traditional methods are carried out using matlab while traversing a circular path
本文對兩輪差速驅動移動機器人的運動學及其本體緩沖設計進行了探討，在對平面運動物體運動分析的基礎上結合四種常用車輪的數學模型，推導出了一個通用的移動機器人堆積方程，在此基礎上分析了移動機器人的移動能力、並針對兩輪差速構型推導了速度正解與逆解；使用muir和newman的運動學建模方法，推導了移動機器人上點及連桿坐標系位姿、速度變換關系矩陣及求解方法；在移動機器人位姿識別方法中結合差速驅動構型對航位推演算法進行了分析：推導了一種理論精度較高的航位推算演算法，並使用matlab對其與傳統的推算演算法在跟蹤圓弧軌跡情況下進行了模擬；最後針對本文所研究的機器人給出了一種比較系統、可靠的緩沖結構設計思路，較好地解決了移動機器人作業過程中外界因素及本身設計中引入的各種不確定誤差問題；本論文研究成果已在本實驗室所開發的樣機上得到實現，經過應用與考核證明其中的分析與設計是切實可行的。A suboptimal decision fusion scheme that minimize the probability of error at the fusion center is presented, it consists of a minimum - error - probability ( mep ) test at the fusion center and likelihood ration tests at the sensors
提出了一種能將聚變中心誤差概率降至最低的次優化聚變解決方案，它由聚變中心的最少誤差概率（ mep ）試驗和傳感器的可能定量試驗組成。In chapter 4 we discuss the design of the high speed and high performance vlsi and its imp1ementation, firstly we ana1yze and compare the features and ru1es of al1 kinds of fft algorithm, adopt complex radix 4 butterfly calcu1ation as basic alu, then discuss all kinds of process architectures, the design thoughts, rule, method, technique way, the characteristics of the design are r4 dit algorithm, pingpong ram design method and pipeline structure between stages. we also analyze the limited word length effect and the method to avoid overflow of the fixed points fft process, bring out the expandable platform mode
第四章主要討論了高速高性能的快速傅立葉變換處理器的設計和實現，首先分析和比較了各種快速傅立葉變換演算法的特性和規律，提出基4蝶算的演算法具有最好的性價比，討論了順序、級聯、并行和陣列的處理結構，闡述了設計高速高性能快速傅立葉變換處理器時的設計原則、設計思路、所採用的技術路線，驗證並測試fft處理器，分析了定點fft處理過程由於有限字長效應所產生的量化誤差的范圍及防溢出控制辦法，提出了可擴展平臺模式。The mrafc scheme employs a reference model to provide closed - loop performance feedback for generating or modifying a fuzzy controller ' s knowledge base. the adaptive compensation term of optimal approximation error is adopted. by theoretical analysis, the closed - loop fuzzy control system is proved to be globally stable, with tracking error converging to zero
該方案利用參考模型作為閉環系統的反饋信號來產生、調節模糊控制器的規則庫，並通過引入最優逼近誤差的自適應補償項來消除建模誤差的影響，不但能保證閉環系統穩定，而且可使跟蹤誤差收斂到零。Assisted with the sensitivity of the linear analog circuits, the feasibility of parametric faults detection was analyzed through the maximum fault errors acquired at the sensitive frequencies, a stimulation matrix and its stimulation expression were put forward on the test points information
摘要從線性模擬電路靈敏度的概念入手，分析了通過獲取敏感頻點激勵下的最大故障誤差來檢測電路參數故障的可能性，提出了一種針對測試頻率和測點信息的激勵矩陣。In order to overcome problems arisen from the application of x fluorescence analysis into complex spectrum produced by archaeological ceramic fragments with multi - element, low content and thick ground, we have employed the artificial neural network into the research of x fluorescence archaeology and conducted three kinds of research works. as the first one, we have applied the linear olam network ( optimal linear association memory network ) and the non - linear bp network ( back - propagation network ) respectively to analyze the complex x fluorescence spectrum of archaeological samples, and taken both results of spectrum analysis to compare with each other. the second, the method of pattern recognition of bp network was tentatively used to perform intelligent identification of production places of these archaeological samples
針對科技考古中對大量考古陶片進行產地研究時x熒光分析對多元素、低含量、厚基底考古陶片產生的復雜譜分析的問題，將人工神經網路引入x熒光考古中，進行了三方面的研究工作：一是用線性olam網路（最優線性聯想網路）和非線性bp網路（誤差反傳導網路）分別對考古樣品的x熒光復雜譜進行解譜，並比較二者的解譜效果；二是用bp網路模式識別方法對考古樣品的產地進行智能識別；三是為了提高網路運算的可靠性和減小基體效應及電噪聲的干擾和影響，研究並提出了三種網路學習前的譜數據預處理方法。The system possesses the real time correcting function, which can avoid error accumulation and highly increase the forecasting accuracy ; ( 3 ) the flood control system can be multiple - scheme designed, that is, the control schemes can be designed in terms of different control ways for hydro - projects. simulated computation can be carried out to obtain multiple schemes that can be used by the leaders for decision making after risk and consequences estimation, so as to scientifically enhance th
系統具有實時校正功能，可以避免誤差累積，極大地提高了預報精度; （ 3 ）防洪調度系統可以進行多方案設計，即可以根據水工建築物不同的調度方式來設計調度方案，並進行模擬調度計算，最終生成多個方案，供領導決策，提高了防洪決策的科學性; （ 4 ）系統採用的數據均建立在實時雨情、水情、工情和天氣預報等數據庫基礎上，預報、調度均能做到快速及時。In order to ensure the real - time monitor this design choose special dsp chip and high - efficiency a / d transfer chip, the former ensure the time is enough to complete the calculation. tests proved that this equipment can satisfy the requirement of international standards about harmonic detection
論文提出了基於dsp的電能質量在線檢測最小測量系統的設計方案。論證了用於電能質量檢測系統的a / d轉換器的位數應大於等於16位，才有可能使各次諧波的檢測精度達到小於1 %的相對誤差。The problem of doa ' s estimation of multiple source signals incident on a arbitrary array in the presence of both unknown spatially correlated noise and sensor errors is firstly considered. a modified ml estimation of doa ' s and sensor gain errors is presented. unlike previous work, the proposed method does not impose any structure constraints or parameterization of the signal and noise covariances. the algorithm can be carried out via the alternating projection approach. finally, the performance of the proposed method is shown with computer simulations as well as real array data
在空間相關色噪聲環境及存在陣列模型誤差情況下，首先給出了基於最大似然的doa及陣列幅相誤差聯合估計演算法，該演算法對信號和噪聲無任何約束，且適用於任意陣列結構。演算法可以利用交替投影迭代搜索實現，計算機模擬實驗和外場實測數據表明，本章演算法能給出比傳統的最大似然方法更高的估計性能。At the same time, the method of disposal phase shift of ct by compensation is introduced. then the analysis and statistic of electrical power quality, the control scheme and compensating amount of capacitor for reactive power compensation are analyzed respectively. and in the paper, the control with a / y and the switch with ac contactor and solid state switch is valid measure not only for improving operate level economically and amending electrical power quality but also for avoiding of replacing switch frequently and decrease economic loss
然後對現有的演算法進行了詳細的分析、比較，篩選出既能滿足硬體要求又可降低投資、保證精度、簡化軟體的方案，確定了準同步采樣的方案，並通過對準同步采樣誤差的分析，提出了一種從45開始采樣，從而提高精度的采樣數據處理辦法，同時，對于電流互感器相位漂移提出了一種補償辦法，接著對裝置中電能質量分析與統計以及無功補償中電容器的補償量、投切原則也作了相應分析，其中對于無功補償採用y混合接線，並利用交流接觸器和固態開關共同投切電容，不但提高了經濟運行水平、改善了電能質量，而且有效的避免了頻繁更換開關，減少了經濟損失；最後，設計了裝置的硬體電路並繪制了相應的軟體流程圖。Every logical model defined on the continuous interval [ 0, 1 ] alters continuously following generalized correlative coefficient he [ 0, l ] and generalized self - correlative coefficient he [ 0, l ]. for example fuzzy logic is only one of the exceptions of gl when h = l. firstly, in this paper it is described that gpl and, or and negation operations can be realized mathematics using a few of forms, such as exponential form, polymorphous form and triangular function form
由於在建立命題泛邏輯學時，包含了已知各種命題邏輯的邏輯學要素（如真值域，命題連接詞等） ，而在每一個邏輯學要素中又包含了已知的全部可能性（如從最大負誤差到最大正誤差等） ，所以不僅已知的各種命題邏輯是命題泛邏輯學的特例，而且還可以生成新的命題邏輯。分享友人