prediction error 中文意思是什麼

prediction error 解釋
提前量誤差
  • prediction : n. 1. 預言，預告。2. 被預言的事物。3. 【氣象學】預測，預報。
  • error : n. 1. 錯誤；失錯。2. 謬見，誤想；誤信；誤解。3. 罪過。4. 【數學】誤差；【法律】誤審，違法；（棒球中的）錯打。adj. -less 無錯誤的，正確的。
  1. Experimental results show that the pls model gains higher prediction accuracy with the mean prediction error 0. 2 octane number. 3

    實驗結果表明pls模型在預測精度上優于mlr模型，其平均預測誤差0 . 2個辛烷值單位，完全可以滿足實際應用的需要。
  2. Linear predictive coding ; lpc prediction error ; cepstrum ; dynamic time warping

    線性預測編碼lpc lpcpe線性預測誤差倒譜動態時軸彎曲或動態時間規正dtw
  3. The nonlinear filtering for nbi estimate - subtract assumes that the prediction error is dominated by spread spectrum signal and the background noise power is far below spread spectrum chip power, this assumption promises the low error ratio of chip decision but may not be attainable to digitalized dsss receiver in military communication environment, and does not coincide with the principle of dsss communication that decreases bit error ratio ( ber ) depending on spread spectrum gain, not on chip power

    在干擾估計抵消濾波中，以往的非線性濾波要求干擾抵消濾波后擴頻信號功率遠大於殘余噪聲功率，進而假設碼片判決的誤碼片率基本為零，這一要求對軍用擴頻通信是不利的，而且也不符合擴頻通信利用擴頻增益降低誤碼率的原則。
  4. Backward prediction error filter

    反向預測誤差濾波器
  5. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。
  6. 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
  7. The prediction error percentage of the 52000t all - purpose cargo ship compared with the model test result is 21. 8 %, 300000t vlcc compared with the measured value is merely 3. 64 %

    用該公式預報的5 . 2萬噸多用途貨船的脈動壓力值與空泡水筒中的實驗值相比誤差為21 . 8 % ；預報了30萬噸超大型油船的激振力並由該激振力算出的尾端振動速度值與實測值相比誤差僅為3 . 64 % 。
  8. From the dongying formation ( ed ) to neogene, the shahejie formation was located in the late diagenetic stage a1 ~ a2 ; the oil and gas pools formed in a wide scale. at present the lower e2s3, with overmatured source rocks and low porosity reservoir rocks, gets into the late diagenetic stage b - c in the northern qibei sag where is not favorable for petroleum accumulation, but the others of the shahejie formation are locate still in the late diagenetic stage a1 - a2 and propitious to form oil and gas pools based on the diagenetic numerical modeling under the condition of overpressure, we build a multiple unit cubic equation model for porosity prediction, as the result of the application of qibei sag, the prediction error is less than 2 %, and the precision excess that of foreign same model

    歧北凹陷的模擬結果表明，在沙河街組沉積末沙河街組三段就進入晚成巖階段a _ 1期，油氣藏開始形成；在東營組沉積時期晚第三紀，沙河街組大部分地層處于晚成巖階段a _ 1 a _ 2期，生、儲、蓋層發育，是其主要成藏期；現今在歧北凹陷北部沙三段下部進入晚成巖階段b c期，儲層物性較差、不利於成藏，其他層段仍處于晚成巖階段a _ 1 a _ 2期，有利於油氣藏的形成。
  9. Based on the principal of the least prediction error and introduced relation analysis method, a new prediction method was advanced in the field of local climate prediction

    摘要針對局地短期氣候變化的非線性特徵及其難以用模型準確刻畫的現狀，根據預報誤差最小原理，引入關聯度分析，提出了一種關于局地短期氣候預測的關聯度方法。
  10. Secondly, we bring statistic coding, prediction coding, transform coding and analysis & synthesis coding into radar area. according to the properties of radar data, we take 4 methods, which are huffman coding ; prediction error model and lzw coding ; fft, uniform quantization in each frequency bank and huffman coding ; wavelet transform, uniform quantization in each frequency bank and lzw coding, to compress the genuine ground clutter radar data and give the corresponding results

    根據雷達回波的特性，分別採用了huffman編碼法，預測誤差模型和lzw編碼法， fft 、分頻帶均勻量化和huffman編碼的壓縮演算法，小波變換、子帶均勻量化和lzw編碼的壓縮演算法等四種演算法，並給出了用這些演算法對真實的地雜波雷達回波數據進行壓縮的實驗結果。
  11. Lpc prediction error ; one - side autocorrelation sequence lpc ; acoustic front end processing ; canonical correlation based on compensation ; combination of features

    線性預測誤差單邊自相關線性預測語音前端聲學處理正則相關分析的譜變換補償特徵綜合
  12. Lyapunov exponent depict the discrete extent of chaotic dynamic system. there propose an estimation of one step prediction error based on lyapunov exponent, the estimation express the reliability of prediction numerically. at the same time, in order to improve the predictive precision it drew out an error complement methods creatively to correct one step prediction

    Lyapunov指數定量刻畫混沌離散動力系統的平均發散程度，基於lyapunov指數作出了一步預測的誤差估計，以此來定量反映預測的可靠性；根據奇異吸引子流形的性質，創造性的提出殘差補充法，對預測值作出修正以降低誤差，提高預測精確性。
  13. The gained snr is higher than the previous algorithm ’ s. a linear least square predictor is presented for the trajectory association algorithm. it can effectively reduce the prediction error and improve the trajectory detection probability

    針對軌跡關聯匹配演算法中的軌跡預測誤差大的問題，採用多點最小二乘（ ls ）線性預測器加以改進，減小了軌跡的預測位置誤差，提高了目標軌跡的檢測概率。
  14. The weak signal in laser clutter background can be detected by means of the prediction error

    利用預測誤差檢測到激光雜波中的有用弱信號。
  15. An image quality evaluation method based on gray prediction error

    一種基於灰度預測誤差統計的影像質量評價方法
  16. A study on noisy speech recognition linear predictive coding prediction error

    一種噪聲環境下的語音識別方法線性預測誤差法的研究
  17. Graphically - oriented local multivariate calibration modeling procedures called interval partial least - squares ( ipls ) was applied to select the efficient spectral regions that provided the lowest prediction error

    本研究提出一種間隔偏最小二乘法的農產品近紅外光譜譜區選擇方法，並將其應用於建立蘋果糖度近紅外光譜模型。
  18. First, the error transfer characteristic among subsystems at different space locations is analyzed, and the direct transfer characteristic from discrete standard measure space to the workpiece measure space under measured in measure system is proven. second, the error reconstruction condition and method of mapping from discrete standard measurement system to continuous standard measure space are analyzed. based on the measurement sample stationarity in limited distance, the prediction model ' s limited astringency and mensurability to the dynamic measuring error and the prediction error respectively are proven

    分析了不同空間位置子系統間的誤差傳遞特性，證明了在測量系統中離散標準量值空間向被測量工件量值空間的直接傳遞性；分析了離散標準量系統向連續量值空間映射的誤差重構條件和方法；基於測量樣本的有限距離的平穩性，證明了預報模型對動態測量誤差的有限收斂性和預報誤差的可測度性，進而證明了以離散標準量值系統對被測工件預報修正的可行性和合理性。
  19. The first step will lead to the decrease of the prediction error. but with the multiplayer - transfer prediction model, one of the most important bases in measuring the effect of individual factor to the prediction model is the comparative value among the factors

    但是，在多層遞階預測模型中，各因子間的相對量值是衡量各因子對預測模型貢獻大小的最重要的依據之一，與因子對預測量的影響程度反而關系不大。
  20. There are difficulties in noisy speech recognition, especially low signal - to - noise rations are more difficult. this paper describes briefly six methods for speaker - dependent noisy speech recognition isolated words. they are lpc prediction error method, one - side auto - correlation sequence lpc, acoustic front end processing, canonical correlation based on compensation method, combination of features method and increase of poles method. the experimental results show that all the six techniques can improve effectively noisy speech recognition, and the best noisy speech recognition rate is above 80 % when snr 0db

    它們是：線性預測誤差法，單邊自相關線性預測法，語音前端聲學處理法，正則相關分析的譜變換補償方法，特徵綜合法和同模極點增加法。實驗結果表明，這6種方法都有效地提高了噪聲環境中語音識別率，其中較好的方法在強噪聲環境中信噪比為0db的語音識別率達到80 %以上，為信噪比較低的噪聲環境中自動語音識別展現了美好前景。
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