weight error 中文意思是什麼
weight error
解釋
計權誤差-
Bounds of undetected error probability for binary constant weight codes
關於一類二元非線性等重碼檢錯性能的進一步分析 -
The paper adopts weighing to measure the change of crystal diameter. in growing, the crystal is weighed in an interval t, by right of the relation between diameter and weight, diameter error is figured out
對晶體直徑變化的監測，本文採用上稱重的方法，在晶體生長時，以一定的時間間隔t ，稱取晶體的重量，利用晶體直徑與重量之間的函數關系，計算出直徑的變化量。 -
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 -
Adding momentum item while correcting weight and limiting range of input value reduce error and improve diagnosis correctness greatly. while normalizing the input value, a new way is put forward that normalization is performed item by item according to its sort. in this way error training can avoid going into the flat field that is caused by existing of 0 or 1 of the input value
本文首先分析了故障診斷和神經網路的基本理論，並在此基礎上提出了神經網路對于變壓器故障診斷系統的適用性；文中將bp神經網路演算法用計算機實現；並針對其本身存在的一些缺點提出了一系列改進措施，通過在修正權值的時候增加動量項，並且限制輸入值范圍來減小誤差、提高系統的診斷正確率；在對輸入數據進行歸一化處理的時候，採取按類逐項歸一化的方法，避免了輸入數據出現0或者1而使訓練進入平坦區。 -
In the modal analysis, the similarity laws has been introduced to reduce the error during the assessment of the prototype building ' s natural frequency under the insufficient balance weight testing. by the author ' s theory, the prototype natural frequency can be the same even the balance weight of model is changeable
在模態分析方面，本文利用相似性原理，解決了模態試驗在配重不足時，求解原型結構自振頻率誤差過大的問題，並且得出了在不同配重條件下，試驗模型與原型結構的頻率可以達到一致的相似準數。 -
The relative weight correction factor of isooctyl was 1. 036, and its relative error was less than 2. 0 %
同時，通過與化學法對照結果顯示，合成液用內標法測定較好，而精產品用帶校正因子的歸一化法測定較好。 -
Through a performance analysis and simulation on generated methods, maximum minimum distance, undetected error probabilities, code weight distribution, good extended shortened codes are determined and general rule is concluded. furtherly, the paper generates nonlinear extended shortened codes
通過對擴展縮短crc碼的構造方法、最小距離、不可檢錯誤概率、碼重分佈等進行理論分析和模擬，得到了擴展縮短crc碼的好碼，並綜合出普遍規律。 -
Abstract : starting from the definition of weight, the paper derives the relaton detween the change of the a priori unit weight weight mean error with the result of adjustment. lt is found that the change has influence only on the exploring effect of the posteriori unit weight mean error and gross error and the coordinated factor matrix, and no influence on all other adjustment results
文摘:該文從權的定義出發，導出了先驗單位權中誤差的變化與平差成果的關系，發現其變化僅對驗后單位權中誤差、粗差探測效果和協因數陣有影響，對其它平差成果均無影響。 -
( 3 ) on the basis of kalman filer algorithm and on the premise of two assumptions, namely, state estimation error of each sensor is dependent or independent, kalman filter weight fusion algorithm and modified track - to - track fusion algorithm are proposed, then improved algorithm is applied to the simulation of line - guidance and terminal - self guidance of torpedo
（ 3 ）基於卡爾曼濾波演算法，在各傳感器估計誤差相互獨立和不獨立兩種假設的前提下，給出了卡爾曼濾波加權融合演算法，在此基礎上，提出了修正的track - to - track航跡融合演算法，並將改進后的演算法應用於魚雷線導加末自導系統的模擬研究。 -
Based on the introduction and analysis of the approach of h ( subscript ) loop shaping, aiming at the problems that the weight functions are chosen by trial and error, and the synthetical performance index of the controller is hard to meet the frequency and time domain performance requirements, an improved weight function selection method is proposed based on engineering design and chaos optimization
摘要在介紹和分析h （下標）迴路成形基本設計力法的基礎上，針對權重函數選取需要反復迭代、過程繁瑣、所得控制器難以同時滿足時域和頻域性能指標等問題，提出了一種基於工程設計、輔以混沌優化理論的權重函數選取方法。 -
In the border router, we design a new diffserv scheduler ( bswcs : bit - based weight time slot compensate scheduler ), which dynamically adjust the weighted quantum of service. combined with the error concealment technology in the video decoder, in case of severe congestion which cause losing a lot of ip packets, these algorithms have been proved effective, hence the delay, jitter and the perceived picture quality all meet requirement for real - time video transmission
4建立了一個區分服務網路模型，根據視頻編碼的特點，提出了一種針對視幀傳輸的新的服務優先等級標識演算法，即根據不同視頻幀解碼時的重要程度和網路的傳輸狀況將不同視頻幀的數據包標記為不同等級，賦予不同的質量保證。 -
A modified svm model, which can predict peak recognition theory, was proposed in this paper. this model can increase the weight of peak error in the loss function of structural risk minimization, thus improve prediction accuracy of hourly water demand peak
本文提出一種能夠進行峰值識別的改進svm演算法，該演算法在結構風險最小化準則的目標函數中加大峰值誤差的權重，從而提高時用水負荷峰值的預測精度。 -
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。 -
A new method of append parameters and integrated analyzing to detect system errors were studied. it can separate time weight and system error effectively. the example shows that the method was available
研究了附加參數法和綜合分析法檢驗系統誤差的新方法，該方法能有效地分離時效分量和系統誤差，實例證明，該方法效果明顯。 -
Firstly, a coarse forecasting model based on only the primary influencing factor ( that is the weight of iron in matte ) is built using linear regression analysis, then, an error compensating model based on other influencing factors is built to improve the result of forecast
首先應用線性回歸技術建立了僅考慮主要影響因素（銅統含鐵量）的粗略預報模型，而後，應用神經網路技術建立了考慮到多個次要影響因素的誤差補償模型，從而改進預報效果。 -
As far as the system observation for accuracy evaluation of carrier rocket is concerned, there may exist different types of observed data and priors. heterogeneous information means that the different information describing the different characteristics of the same object. since all of the information is relevant to the same object, the fusion is possible. it is a key problem that how to fuse the heterogeneous information to obtain the better evaluation result. therefore, the different heterogeneous information and data is thoroughly studied, moreover, the mathematical description for information fusion of different parameter priors and data is constructed in this paper. based on their relationship between different parameters, indirect prior and observation data is transformed into prior in impact point observation space, which is fused with original prior by weight determined by maximum entropy rule to obtain the mixed posterior distribution. therefore, the test results can be given by combining posterior distribution and impact error observed data. then its application on evaluating guidance systematic error is elaborated as it applies trajectory tracking data, test value of coefficients of guidance instrumentation systematic error, impact point observation data and prior. especially, the advantage of this method lies in its application in case that guidance instrumentation systematic error may not be computed precisely. finally a detailed example on evaluation of carrier rocket is given to verify the theory
為充分利用運載火箭觀測中的不同觀測空間和過程的信息來進行精度評估，針對該背景建立了異質先驗融合的數學描述.研究了飛行試驗中不同觀測空間和過程的異質先驗信息和數據，基於不同觀測過程的解析關系，將間接過程的先驗和觀測數據算出的后驗分佈轉換成落點觀測空間上的先驗，與原落點的先驗進行了最大熵加權融合，得到混合后驗分佈，從而結合落點觀測數據給出評定結果.在無法解算出精確的制導工具誤差系數的情況下，這種方法充分利用了彈道跟蹤數據、工具誤差系數的地面測試先驗值、落點先驗及落點數據，穩健性更好，準確性更高 -
Fit error and weight
允許的匹配錯誤率和加權 -
Further analysis of the existence on nonlinear constant weight and good error - detecting codes
非線性等重檢錯好碼的存在性的進一步分析 -
The relationship between separation and the set of minimum distance message pairs is discovered, which leads to a theorem of sufficient and necessary condition of unequal protection. based on the definition of separation of code symbols, the large weight error patterns correction criteria of a given code is derived
其次證明了非均勻保護碼的分離度和最小距離消息對集合之間的關系，進而證明了非均勻保護碼存在的充分必要條件，該條件可以作為判別一個碼是否均勻保護的判據。
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