樣本本徵值 的英文怎麼說
中文拼音 [yàngběnběnzhǐzhí]
樣本本徵值
英文
sample characteristic value-
Defect style and imaging character of carbon product that easy create in the course of produce are analyzed, based on that, nineteen features are extracted form flaw stylebook
分析了炭素製品生產中易產生的缺陷類型及缺陷的成像特徵，在此基礎上，從缺陷樣本中提取了19個特徵值。To analyze the distribution of chinese decor industry customers " internal value index and to find the method of brand positioning based on customer internal value, the author apply the " graphics of consumers " internal value " - an new method on analyzing the customer internal value - to chinese decor industry. based on an customer survey and much desk research and the case analysis, the author deeply explain the consuming habit of decor industry customers, analyze the distribution of decor industry customer internal value index and the characteristic of customer internal value in subdivided decor industry market, and analyze the strong points and weak points in brand positioning of famous decor brand " ikea "
本文是對消費者價值分佈和基於消費者價值的品牌定位的研究，旨在通過借鑒著名國際市場研究公司羅蘭?貝格戰略咨詢公司所開發出的「消費者價值分布圖解法」 ，並基於對中國上海204份隨機抽取的樣本所進行的問卷調查，深入分析中國家居市場消費者的價值元素分佈、消費者需求的變化趨勢、細分市場的消費者特徵，並探討國際著名家居品牌- - - - - -宜家家居- - - - - -在中國的品牌定位以及其品牌定位與其目標消費者價值分佈的聯系。It is especially attractive for the downlinks and suppressing intercell mai. when multiuser detector is adapted in blind mode, it usually adopts eignvalue decomposition or singularvalue decomposition of received sample correlation matrix and tracking alrithgms, which result in high computational complexity. at the same time, approximation computation in tracking alrithgms also result in slow convergence
為實現盲自適應檢測，通常採用對接收信號樣本矩陣進行特徵值分解（ evd ）或奇異值分解（ svd ）后進行跟蹤，由此帶來的子空間秩跟蹤使得實現復雜度很高；另一方面，在跟蹤演算法中考慮一些實際情況而作出近似處理，從而引起誤差積累和正交性誤差，導致每次跟蹤開始階段跟蹤速度變慢。By omitting certain particular conditions inconsistent with actualities, we can also obtain a similar result in the position distribution of discrete eigenvalues and their limit points for this kind of operators
在省略某些不符合實際的特殊條件的情況下，對這類運算元離散本徵值及其聚點的位置分佈，同樣獲得了一個類似的結果。In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1
根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。In this paper, they are set forth at first that the kinds of computer - simulation of electronic devices, the development and the requirements of mosfet ' s model and the way of gain the models " parameters, the dc models have been bui it in chapter 2 and the models of big signals have been deduced in chapter 3, they are different from the equivalent circuit models in the traditional software pspice that they come from the numer i ca i - s i mu i at i on wh i ch is based on the essence equat i on, so the precision of simulation is enhanced ? mosfet ' s small signal models of low frequency, intermediate frequency and high frequency have been built in chapter 4 and chapter 5, although the equivalent circuit models in pspice are used for reference to bui id them, they have their own characteristics which are analyzed at a i i kinds of situations, so that the simulation software for mosfet can be written according them and it i s a i so benef i c i a i for us to catch the gen i us character i st i cs of mosfet and to d esign all kinds of applicable devices the correctness of the models is simply proved in chapter 6
本文首先介紹了電子器件計算機模擬的分類、 mosfet的建模發展動態、對器件模型的要求以及模型參數的提取方法。在第二章中建立了mos晶體管在直流端電壓條件下的工作模型；第三章推導了mosfet的大信號模型，這兩類模型不同於傳統模擬軟體例如pspice中的等效電路模型，而是從模型方程出發，採用數值模擬的方法，提高了模擬的精度。第四章和第五章分別建立了mos晶體管低頻、中頻、高頻的小信號模型，雖然借鑒了pspice模擬軟體中用等效電路模型的方法，但是本文分別討論了準靜態和非準靜態時器件的本徵部分以及包含非本徵部分工作于低頻、中頻和高頻條件時的模型，可以根據這些模型編寫相應的模擬軟體，這樣在做器件的模擬分析與器件設計的時候，就可以利用模擬軟體逐步深入地分析器件在不同的條件下和器件的不同部分在工作時的各種小信號特性，有利於抓住器件工作的本質特性，設計出符合要求的各類通用和特殊器件。This paper presents a new face detection algorithm for color video images based on skin color and multimodal information fusion. first, this paper presents a new means for selecting skin samples ; and then comparing skin distribution in the eight color spaces and analyzing the adaptability for different skin patterns, poses a face initial orientation ' s method which uses the single gaussian model in the tsl color spaces, and calculates skin probability images ; afterwards comprehensive comparing three typical threshold value separating algorithms, put forwards a face separating method which bases on region growing and fuses multimodal informations ; final, raises a face confirming algorithm which fuses three shape features
首先提出了?種新的膚色樣本選取方法；然後通過對八種色空間膚色分佈的比較以及不同膚色模型適應性的分析，提出了在tsl色空間上用單峰高斯模型模擬膚色分佈，求得膚色概率圖進行人臉初定位的方法；隨后在綜合比較三個典型閾值化分割演算法的基礎上，提出了融合多源信息進行區域生長分割人臉的演算法；最後提出了融合三個形狀特徵的人臉確認演算法。On the basis of research on index - future ' s traits and functions and learning of the experience of establishing the object index, i proved and testified the characteristics of the object index in china. firstly, i managed to select the sample stocks through the sequence of the listed companies in their negotiable market capitalization and trading amount, and i established 300 integrate index of sh and sz markets, 100 integrate index of sh and sz markets. secondly, i made empirical research on the market characteristics of sh integrate index, sz integrate index, sh 30 index, sz ingredient index, together with the above two indexes
因此本文在研究股指期貨的功能和特點的基礎上，借鑒國外成功的股指期貨標的指數的編制經驗，論證了作為中國股指期貨標的指數的特點，嘗試通過上市公司流通市值和成交金額的的名次來選擇樣本股，編制了滬深300統一指數，和滬深100統一指數，對上證綜合指數、深圳綜合指數、上證30指數和深圳成份股指數以及滬深300統一指數、滬深100統一指數的市場特徵進行了實證研究，並採用最小方差模型檢驗了各指數作為股指期貨標的指數的套期保值效果。In the plate region of a vehicle image, the gray value varies frequently in cross - direction, so we define a parameter ". cross variance " to describe it. we also calculate other parameters to approximately locate the plate, they are the space length between two chars, the thickness of stroke, the peak and trough of gray value, the ratio of width and length, etc. at last, we exactly locate the plate by the theory of mathematical morphology
該方法根據圖像車牌區域橫向灰度值變化頻率比較大這一特徵提出了橫向方差參數，並結合車牌的字元間距、筆劃粗細、灰度峰谷值、長寬比值等特徵粗定位車牌，在車牌的精確定位中利用了數學形態學的方法。我們從某高速公路收費站實地拍攝的照片中選取了1000多幅作為實驗樣本數據。Bringing forward an intelligent decision method of image segmentation based on roughset theory to make the system automatically select segmentation algorithm in simple scenes. firstly, it selects some representative segmentation algorithms to make up of an algorithm library, which is used to process kinds of sample images ; secondly, it makes the decision informationtable utilizing diversified numerical features extracted from the sample images and the optimalsegmentation algorithm of each sample image according to segmentation quality evaluationcriterion ; finally, it applies rough set theory on discretization and attribution reduction of
為了使系統在簡單場景下能夠通過自動選取分割演算法來提取目標，提出了一種基於粗糙集理論的圖像分割智能決策方法。首先選取若干具代表性的分割演算法構成演算法庫，並用它們對各種樣本圖像進行分割;然後利用從樣本圖像中提取出來的各種數值特徵，並根據圖像分割質量評價標準評判出各樣本圖像的最優分割演算法，用其構成決策信息表;最後應用粗糙集理論來對決策信息表進行離散化處理和屬性約簡，以生成圖像分割演算法選取的決策規則。Through extrapolation, the order is poromted from 2 to 4. for rannacher - turek element, its single root also gives lower - bound approximation. however, it can reach fourth order and further extrapolation leads to sixth order, while its repeted root has only second order precision and extrapolation leads to fourth order precision
實驗結果表明拓廣rannacher - turek元確實給出特徵值的下逼近，並且要優于線性元，外推可以使2階精度提高到4階，而rannacher - turek元對單根同樣給出下逼近，但近似解本身便可達到4階高精度，外推可以獲得更高階（ 6階）精度，重根卻給出上逼近，只具有2階精度，但可以通過外推達到4階精度。Considering the compactness characteristics of dissolved gas analysis data, the achieved samples are pre - selected with the fuzzy c - means clustering method to solve the problem of long time consuming in parameter determination, thus a certain model extension ability is enhanced
考慮到變壓器油中溶解氣體特徵空間的緊致性原理，利用模糊c均值聚類演算法對所獲取的樣本進行預選取，有效地解決了確定模型參數時耗時巨大的問題，並一定程度提高了模型的推廣能力。The model framework, key techniques and strategies were also introduced. in this paper, the component search engine selection algorithm and the result merging algorithm were designed, which can help metasearch engine to choose potential and useful component search engines to execute information search. the analyzing of the experiment data demonstrated that some characteristic value impact the selection of component search engine in each tactics
本文為該模型設計了基於用戶個人喜好的成員搜索引擎演算法和查詢結果處理演算法，採用這樣的演算法旨在幫助元搜索引擎更加有效的選擇潛在有用的成員搜索引擎進行信息搜索；通過實驗結果的分析，我們可以看出，每種選擇策略都能夠體現某些特徵值對成員搜索引擎選擇的影響。The result of fault diagnosis simulation tests indicates that the fault diagnosis system could make training error reach to the aim value quickly and efficaciously for all pulverizing system fault samples. at the same time, simulation tests prove that the fault samples with the signal of zero or one of pulverizing system and bp neural network model are correct, and this system faults can be diagnosed exactly and quickly. obviously, this research is successful and lay the foundation for the development of pulverizing fault diagnostic system
其故障診斷模擬實驗結果表明，應用本文所開發研究的制粉系統各故障樣本及其相關故障樣本訓練時均能快速有效地收斂於一個設定的系統誤差值；同時其故障診斷的模擬實驗證明了本文所建立的以0 、 1為徵兆量的制粉系統故障樣本和bp神經網路模型是正確的，且能快速、較準確地對故障情況作出判斷，顯然，本文的工作是有成效的，為制粉系統故障系統進一步開發奠定了基礎。Based on high - dimension space geometry, every speech sample is looked as a point in space. then the speech sample point is extracted feature by lpc, mel - scaled cepstrum analysis or auto correlation - angle. their feature is looked as a point too
基於高維空間幾何的思想，把每個樣本點和其特徵值看作高維空間中的一個點，用線性預測分析、 mel倒譜分析和自相關夾角法對樣本點提取特徵，然後用點在空間的投影來判別語音和非語音，根據判別結果來比較三種特徵提取方法的優劣。Based on signal from carbon fiber composite defects such as lamination, hole, looseners in ultrasonic testing, this paper performs wavelet packet transform on the ultrasonic signals to extract statistics of approximation coefficients and detail coefficients that contain a great part of signal energy as sample - features
摘要本文以碳纖維復合材料常見缺陷分層、孔隙、疏鬆的超聲波檢測缺陷信號為研究對象，對超聲波檢測信號進行小波包變換，提取包含信號絕大部分能量的近似系數波形特徵及細節系數的統計量作為樣本的特徵值。So it can avoid risk of model and computer rightly the var of extreme event. this article presents the theory of extreme value and character of tail of distribution and gives the example of var with index of shanghai stock market by evt, then compares the var result of different computation methods and concludes that traditional var method is static state model and var with evt is dynamic conservative model and has the ability of forecasting risk out of sample comparing to historical simulation method
本文系統地闡述了極值理論和極值分佈特徵，以上證指數為例，將極值理論應用於風險價值的計算，並將應用結果與傳統var方法計算的結果進行了比較分析，最後得出結論：傳統的var計算模型是靜態的模型，應用極值理論計算var的模型是動態的、相對保守的模型；與歷史模擬法相比較，極值理論具有超越樣本的預測能力。5 ) this dissertation presents new predictive models for the transient stability and small signal stability based on support vector machine theory that can solve the problems such as finite samples. a new method of feature selection and sample condensation is proposed to build predictive model which improves the practicability of the model greatly
5 ）論文首次利用基於小樣本技術的支持向量機理論，設計了新的暫態穩定、小擾動穩定特徵值預測模型，提出了新的適合預測模型構建的特徵選擇、數據采樣策略，提高了模型的實用性。Study the principle and formula derivation of fuzzy - similarity - comparison quotation method, some critical technique such as elemental composition and elemental weights in the parts feature set, normalizing data, selecting similar samples, and so on
模糊相似比較法的原理、公式推導過程，及工件特徵集合中各元素的構成和權值的選取、數據規格化和相似樣本的選取等關鍵技術。The point feature weighting algorithm constructs the deviation vector using means and variances of samples, and uses the deviation vector to restrain the feature units which do harm to the classification accuracy
逐點特徵加權演算法用樣本的均值和方差構造偏離量，對紋理特徵進行自適應加權。分享友人