prior estimate 中文意思是什麼
prior estimate
解釋
先驗估計-
For a general linear model ( input matrix is deterministic ), under a certain conditions on variance matrix invertibility, the two estimates can be identical provided that they have the same priori information on the parameter under estimation. even if the above information is unknown only for the optimally weighted ls estimate, the sufficient condition and necessary condition, under which the two estimates are identical, is derived. more significantly, we know how to design input of the linear system to make the performance of the optimally weighted ls estimation identical to that of the linear minimum variance estimation in case of being lack of prior information
在一般線性模型（即輸入矩陣為確定性）下，當兩種估計都利用有關被估參數的先驗信息時，二者在方差陣可逆的一定條件下可達到一致；當最優加權最小二乘估計不利用此先驗信息時，存在二者一致的充分條件和必要條件，進而找到一種設計輸入矩陣的方法，使得在先驗信息缺乏的條件下，仍可利用最優加權最小二乘估計達到與線性最小方差估計一樣優越的估計性能。 -
By constructing approximate functions and using prior estimate and conversion of variable, it is proved that the inverse problem has weak solution for given initial value, boundary value and the oil output
通過變量和函數變換，作逼近函數和估計等方法，證明了對給定的初邊值和石油產量，此反問題存在弱解。 -
In the sense of mean squares, maximum likelihood estimator, best linear unbiased estimator, taest linear invariant estimator, and good linear estimator are contracted. fourth, proposed and researched the reliability analysis method under the zero - failure data and doof data. based on the part beta distribution as the prior distribution of failure probability p, = p ( t < r, }, hierarchical bayesian estimate method was discussed, obtain the reliability analysis method under the zero - failure data and the doof data
第四，提出並研究了無失效數據類型和doof數據類型下電連接器的可靠性分析方法，提出了以不完全beta分佈為一級先驗分佈，超參數為[ 0 ， 1 ]上的均勻分佈作為失效概率先驗分佈的多層bayes方法，結合加權最小二乘法解決了產品在無失效數據和doof數據下的可靠性分析問題。 -
Researches the basis watermark managing works particularly and systemly. there are many works to do on watermak technology except watermark embedding and extraction arithmetics such as the watermark choosing, encoding, modulating, demodulating and the watermark capacity. these prior and ultimate works ensure that the arithmetic is brought into effect. just understanding these, this paper analyses and researches the basic watermark theoretics in many pages. it brings forward chaos modulation on watermark modulating, brings forward chaos permuting on image permuting, introduces bch encoding on letter watermark processing and discusses the approximate estimate of the watermark capacity in dct domain and dwt domain by applying the current communication theoretics. there works not only extend ways for the later work but also are significative on watermark research
全面系統地研究了水印信號的處理技術數字水印技術除了水印嵌入和提取的演算法外，還有許多工作需要做，如水印的選碼、編碼、調制、解調、能量的確定等等，這些預處理和后處理工作是演算法有效實施的必要保證，正是基於這樣的認識，本文利用較大的篇幅對水印的基本理論知識進行了詳細的分析和研究，在水印的調制方面，提出了混沌調製法；在圖像水印的置亂方面，提出了混沌置亂法；在文字水印的處理上，引入了bch編碼；在水印容量分析方面，結合現代通信理論，對圖像在dct域和小波域內的水印容量估算進行了詳細的探討，這些工作不僅為本文後期工作鋪平了道路，而且對數字水印的研究具有重要的意義。 -
Using better prior estimate, the theory of brower degree and coincidence degree, the existence of positive periodic solution of a kind of neutral population model with multiple delays was studied, some sufficient conditions were obtained, which improve of the relational theorem
摘要通過更精確的先驗估計，利用重合度理論中的連續定理，研究了一類時滯種群模型的周期解，獲得了這類模型存在正周期解的充分條件，所得結果推廣了有關結論，並使條件有所減弱。 -
Such conclusion can be made according to the prior analysis that shannon theory can be introduced into risk management to estimate risk, appraise risk and make decision. furthermore, the result of analysis on the project in the dissertation is is consistent with the fact, that is to say, choosing the daxie island, ningbo as the plant site for the project accords with the conclusion of the paper
通過前面各章的分析，得出結論：在風險管理中，完全可以引入熵的理論，進行風險的估計、評價和決策，同時，利用該理論得出的結論與實際情況是相符的，即煙臺萬華聚氨酯股份有限公司16萬噸年mdi工程最終廠址選擇在寧波大榭島，與本文的結論是一致的。 -
At the same time, the previous global estimate of failure probability can serve as additional prior information to yield the overall calibrated probability
同時，先前估計的全局破壞概率，能夠用作額外的先驗信息，來給出全部校準的破壞概率。 -
As neural network has the ability of self - learning, that utilizes prior output data of uncertain system to estimate iteratively the static state property of system in order to achieve ideal approaching precision for identification of the positive model, a robust iterative learning control scheme on the basis of better positive model is designed. the neural network is used to identify the positive model of nonlinear system on iterative axis, which can give feed - forward action of iterative learning controller to reduce the effects of nonlinear properties and model uncertainties. meanwhile, feedback action of iterative learning controller make joint movement follow the desired trajectory on time axis by using controlled parameters derived by the neural network
由於神經網路具有自學習能力，它可利用不確定性系統的歷史輸出數據對系統的穩態特性進行估計，使得對系統正向模型的辨識達到理想的逼近精度，然後在此正向模型的基礎上進行學習控制律的設計：即採用神經網路辨識非線性系統的正向模型，並消除系統不確定性和外部干擾的影響，使關節運動沿迭代軸方向逼近期望軌跡；迭代學習控制器在線學習控制參量，使關節運動沿時間軸方向跟蹤期望軌跡。 -
On practical occasions, censored test is used, small scale sample test theory and extensive sample strategy are applied, together with point estimation, estimation of lower limit value for reliability in certain confidence and bayes method based on ? ii ? abstract prior reliability information of the old system are adopted to estimate and veflf ~ ? the new system ? reliability
根據現場具體情況，採用截尾試驗方法，應用小子樣試驗理論，採用擴大樣本量策略，利用點估計、在一定置信度下系統可靠度下限估計和以原有系統可靠性信息為先驗信息的bayes法對系統的可靠性進行估計和驗證。 -
For the class of nonlinear second order ordinary differential equations ( odes ), we firstly consider one of their special one - dimensional forms, and then prove the existence of solution to its two - point boundary value problem in the light of prior estimate and schauder fixed point theorem. we also show the exact solutions for the special equations as an example and plot the numerical solutions by mathematica
對于這類非線性的二階常微分方程，我們首先考慮其一維的特殊的形式，運用先驗估計，進而利用schauder不動點定理，證明了其兩點邊值問題解的存在性，並給出具體方程的解作為例子，然後用mathematica作出數值解的圖。 -
The prior information of pixel intense distribution is introduced. then simulated annealing algorithm is applied to choose the proper neighborhood structure, and the optimal estimate can be obtained
引入像素強度的先驗概率分佈模型，運用模擬退火演算法選擇合適的鄰域結構，獲得強度的最優估計。
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