誤差反向分析 的英文怎麼說
中文拼音 [wùchāfǎnxiàngfēnxī]
誤差反向分析
英文
error reversed read method- 誤 : Ⅰ名詞(錯誤) mistake; error Ⅱ動詞1 (弄錯) mistake; misunderstand 2 (耽誤) miss 3 (使受損害...
- 差 : 差Ⅰ名詞1 (不相同; 不相合) difference; dissimilarity 2 (差錯) mistake 3 [數學] (差數) differ...
- 反 : Ⅰ名詞1 (方向相背) reverse side 2 (造反) rebellion 3 (指反革命、反動派) counterrevolutionari...
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 析 : Ⅰ動詞1. (分開; 散開) divide; separate 2. (分析) analyse; dissect; resolve Ⅱ名詞(姓氏) a surname
- 誤差 : error
-
Presents a new method for fairing of curves which has a small flexibility based on fitting the derivative of second order of curves. we fit the derivative of second order of curves by a polynomial fitting, then find an indefinite integral of this polynomial to get a approach of curves. otherwise, we discuss the analyze of the error and the optimize of fairing to this arithmetic
提出了一種針對小撓度曲線的逆向曲線光順演算法,該演算法直接擬合曲線型值點列的二階導數曲線,然後通過兩次積分來反求出光順后的曲線,並對該演算法的誤差分析、效果分析、光順優化等問題進行了深入探討。This text divides into five chapters altogether : chapter one in the introduction, have introduced the common sensor of displacement, has pointed out the fine characteristic of hall ' s sensor, put forward the basic task ; chapter two have introduced the basic operation principle of hall ' s component ; chapter three introduce hall temperature performance, electromagnetic characteristic, zero error, frequency characteristic and these parameter commonly used compensation method and hall simple application of component ; chapter four having recommended the measurement principle of the feedback servo mechanism, systematic implementation method, the experimental result has appeared, structure the mathematics model, and has analysed the error ; chapter five have pointed out the developing direction in the future while looking forward to
本文共分為五章:第一章緒論中,介紹了常見的位移傳感器,指出了霍爾傳感器的優良特性,提出了基本任務;第二章介紹了霍爾元件的基本工作原理;第三章介紹了霍爾元件的溫度性能、電磁特性、零位誤差、頻率特性以及這些參數常用的補償方法和霍爾元件的簡單應用;第四章介紹了反饋隨動機構的測量原理,系統的實現方法,給出了實驗結果,構建了數學模型,並對誤差進行了分析;第五章展望中指出了今後的發展方向。On the other side, measuring errors of grounding resistance and solution of current voltage electrodes reversing has been compared with horizontal two layers and vertical delaminating ( three layers soil )
比較分析了電流電壓極反向布置、在水平雙層和垂直分層或三層土壤結構中接地電阻測量的誤差和解決辦法。On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system, this paper sets up an adaptive noise cancellation controller based on artificial neural network, which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end, this paper proposes some advices of model and algorithms
在對基於誤差反向傳播學習演算法的多層前向人工神經網路進行分析基礎上,結合傳統自適應噪聲抵消系統基本原理,建立了基於人工神經網路的自適應噪聲抵消器,經基於matlab的simulink模擬實例證明,具有很強的噪聲濾除能力和魯棒性。最後並提出了網路及演算法進一步改進的方法。For example, w. rostow considered that the growth of economy was aroused by leading industry, and industrial structure took a very important role in the economy growth ; h. chenery considered that industrial structure and economy growth had a bidirectional causal relation ; however, the most influencing theory was brought forward by s ? kuznets, who considered that it was economic growth which caused the variance of industrial structure advancement, etc. according to cointegration theory and granger causality theory, this paper, based on the summary of multitudinous scholars ’ research literature, carries a positive analysis to the relationship between industrial structure and economic growth, using the time serial data from 1978 to 2003 by
分析結果驗證了配第?克拉克定律的正確性即經濟的增長是就業人口向第三產業轉移的原因,但卻否認了庫茲涅茨的收入決定論,即至少在我國,產業結構的演進是經濟增長的原因而不是相反。同時,本文還原創性地論證了,我國的經濟增長與產業結構之間存在惟一的動態均衡關系即協整關系,產業結構與經濟增長之間短期波動與長期均衡關系存在於根據協整方程建立的向量誤差修正模型之中。Based on analyzing the mechanism of direction finding triangulation location and location accuracy for two - ship passive locating, the acquisition probability model of anti ship missile terminal guidance radar is presented for two - ship passive locating : and the effects of the key factors to the probability are analyzed, and then the primary factors are pointed not by analyzing the results in different conditions
摘要首先簡要介紹了無源定位技術,然後著重分析了雙艦無源測向交叉定位以及其誤差產生的機理,在此基礎上,給出了雙艦無源定位情況下實施超視距攻擊時,反艦導彈末制導雷達開機時刻對目標的捕捉概率模型,並通過模擬分析雙艦距離。With the modeling method in this paper, it is showed that numerical load - displacement curves agree well with the experimental skeleton curves, and that the errors of crack load are bigger, but the cra
分析表明:採用本文的建模方法,計算所得的荷載?位移曲線與試驗所得的骨架曲線符合較好;開裂荷載有的誤差較大,但開裂部位及過程與低周反復荷試驗中某一方向加載所得的結果較為符合。Error reversed spread method
誤差反向分析Feature extraction through 2 - order polynomial fit of the descending part of the response curve made possible a timesaving measurement process. the performances of two pattern recognition algorithms, namely principal component analysis ( pca ) and linear discriminant analysis ( lda ) in practical problems were discussed. artificial neural network ( ann ) was utilized with back - propagation algorithm ( bpa ), and the combination of pca / lda with ann improved the identification performance of the system
基於對模式識別系統的深入研究,提出了從響應階段數據提取特徵的方法,節省了測試所需時間;比較了主成分分析法( principalcomponentanalysis , pca )與線性判別式法( lineardiscriminantanalysis , lda )兩種模式識別方法在實際應用中的不同結果,分析了原因;設計了採用誤差反傳演算法back - propagationalgorithm , bpa )的前向人工神經網路( artificialneuralnetwork , ann ) ,並指出其應用中存在的問題,提出了改進建議;利用pca lda與ann相結合的方法改善了系統的識別性能。The main point of this project is to research the theories and applications of artificial neural network ( ann ) which is suitable for large scale science data mining. especially, our research focus include : dimension reduction techniques based on independent component analysis ( ica ) and wavelet - based denoising or compressing techniques for feature extraction in scientific datasets which have complex features ; classify and clustering techniques of ann combination with data grid, back - propagation neural network, self - growing multilevel self - organizing map for large scale knowledge founding in sdm
特別深入研究以獨立分量分析( ica )為主的降維技術、以小波神經網路為主的壓縮降噪技術解決科學數據特徵復雜不便識別的問題;以同網格結合的神經網路、誤差反向傳播的bp神經網路、自適應多級自組織特徵映像網路為主的分類、聚類技術解決科學數據挖掘中的大規模知識發現問題。And use relative fitting error to measure statistical data non - uniform error ; then introduce the method systematically of using the fuzzy comprehensive evaluation method to carry on the overall superior test of the government statistical data quality. includes the establishment of step level appraisal target system, target weight determination, calculates the factor weight in various levels, uniform test of judgment matrix, and built up the final fuzzy comprehensive evaluation model of the government statistical data quality according to the above - mentioned standard ; finally selects the partial main social economy total quantity target from chinese statistics yearbook 2003 to carry on the real diagnosis analysis : ( 1 ) confirm these social economy total quantity targets using the description statistics and the k - s inspection method to obey the lognormal normal distribution. ( 2 ) according to the two levels of inspection methods which this article proposed to carry on accuracy and the overall superior test for these social economy total quantity targets
本文首先從統計數據及質量的涵義出發,全面系統的介紹了統計數據質量的概念;其次,從研究統計數據的分佈規律入手,對統計數據準確性檢驗問題進行了探討,利用對數正態分佈檢驗對反映研究對象規模大小的統計數據的質量及異常數據進行定量檢查和識別,並利用相對擬合誤差計量統計數據的非一致性誤差;接著系統介紹了利用模糊綜合評價方法對政府統計數據質量進行整體優度檢驗的思路,具體包括建立遞階層次的評價指標體系,指標權重的確定,計算各層次中因素的權重,判斷矩陣的一致性檢驗,並根據上述標準建立了最終的政府統計數據質量模糊綜合評價模型;然後通過從2003年中國統計年鑒資料中選取部分主要的社會經濟總量指標進行實證分析: ( 1 )利用描述統計和k - s檢驗法來驗證這些社會經濟總量指標服從對數正態分佈的規律; ( 2 )按照本文提出的二級檢驗法來對這些社會經濟總量指標進行準確性和整體優度檢驗,從而達到綜合評價政府統計數據質量的目的;最後對這種二級檢驗法的優點和不足進行小結,提出今後應該努力改進的方向。According to the inverse solutions of 3 - tpt translational parallel robot mechanisms, in which both the base and the mobile platform are triangle and similar to each other, for the error of the mobile platform center denoted by modulus of error vector, the accuracy model of parallel robot mechanisms is established by the differentiation of the kinematic
摘要針對具有相似平臺的3 - tpt型三維移動並聯機器人進行了研究,根據其位置反解方程,採用機器人微分理論,以誤差向量的范數表示動平臺中心點的誤差,建立了該機器人精度分析的數學模型。分享友人