樣本的大小 的英文怎麼說
中文拼音 [yàngběndedàxiǎo]
樣本的大小
英文
sample size- 樣 : Ⅰ名詞1. (形狀) appearance; shape 2. (樣品) sample; model; pattern Ⅱ量詞(表示事物的種類) kind; type
- 本 : i 名詞1 (草木的莖或根)stem or root of plants 2 (事物的根源)foundation; origin; basis 3 (本錢...
- 的 : 4次方是 The fourth power of 2 is direction
- 小 : Ⅰ形容詞1 (體積、面積、數量、強度等不大) small; little; petty; minor 2 (年紀小的; 年幼的) youn...
- 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
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The risk of error can be reduced, he told internists attending a " multiple small feedings of the mind " hepatology update, by attention to specimen size and number of specimens
錯誤的危險度可以減低,他告訴參加一個肝臟新知識體目為「思考多重微小量變」的會議的內科醫生們將重點關注放在取樣樣本的大小和數目上。This article puts forward a solution named divide - assemble by deducing the size of bp neural network to overcome entering the local best point, the dividing process is that a big bp neural network is divided into several small bp neural networks, every small bp neural network can study alone, after all small bp neural networks finish their study, we can assemble all these small bp neural networks into the quondam big bp neural networks ; on the basis of divide - assemble solution, this article discusses the preprocessing of input species and how to deduce the size of bp neural network further to make it easy to overcome entering the local best point ; for the study of every small bp neural network, this article adopts a solution named gdr - ga algorithm, which includes two algorithms. gdr ? a algorithm makes the merits of the two algorithms makeup each other to increase searching speed. finally, this article discusses the processing of atm band - width distribution dynamically
本文從bp網的結構出發,以減小bp神經網路的規模為手段來克服陷入局部極小點,提出了bp神經網路的拆分組裝方法,即將一個大的bp網有機地拆分為幾個小的子bp網,每個子網的權值單獨訓練,訓練好以後,再將每個子網的單元和權值有機地組裝成原先的bp網,從理論和實驗上證明了該方法在解決局部極小值這一問題時是有效的;在拆分組裝方法基礎上,本文詳細闡述了輸入樣本的預處理過程,更進一步地減小了bp網路的規模,使子網的學習更加容易了;對于子網的學習,本文採用了最速梯度? ?遺傳混合演算法(即gdr ? ? ga演算法) ,使gdr演算法和ga演算法的優點互為補充,提高了收斂速度;最後本文闡述了用以上方法進行atm帶寬動態分配的過程。This paper concerns studies on rhizobia in symbiosis with important legume soybean and peanut crops in china, following : 1 ) summarized bio - diversity of rhizobia, including indigeneous population, isolation frequency, strain type, distribution, and strain - host promiscuity and compatibility from large and small samples. 2 ) reviewed symbiont improvement in both sides of rhizobia and hosts, involving selection of effective rhizobial strains, evoluation and utilization of the host germplasm for symbiotic properties, and selection of the both sides for special characters. 3 ) discussed the subject on the rich symbiont germplasm resource in china and on further research being necessary to exploitation and utilization of the benificial germplasm
針對我國主要豆科作物大豆和花生的研究成果,並結合本身研究工作內容, ( 1 )總結了與宿主共生的根瘤菌生物學多樣性,包括大、小樣本的土著根瘤菌群體數量、分離頻率、類型與分佈及其菌株宿主共生混交性與親和性; ( 2 )評述了根瘤菌宿主植物共生體雙邊固氮改良,包括優良菌株的選育、宿主品種資源共生特性的評價與利用及特異性狀的選擇; ( 3 )討論了我國這一類共生體資源的豐富性以及有必要進一步加大力度研究有益資源的開發和利用的問題。Abstract : this paper concerns studies on rhizobia in symbiosis with important legume soybean and peanut crops in china, following : 1 ) summarized bio - diversity of rhizobia, including indigeneous population, isolation frequency, strain type, distribution, and strain - host promiscuity and compatibility from large and small samples. 2 ) reviewed symbiont improvement in both sides of rhizobia and hosts, involving selection of effective rhizobial strains, evoluation and utilization of the host germplasm for symbiotic properties, and selection of the both sides for special characters. 3 ) discussed the subject on the rich symbiont germplasm resource in china and on further research being necessary to exploitation and utilization of the benificial germplasm
文摘:針對我國主要豆科作物大豆和花生的研究成果,並結合本身研究工作內容, ( 1 )總結了與宿主共生的根瘤菌生物學多樣性,包括大、小樣本的土著根瘤菌群體數量、分離頻率、類型與分佈及其菌株宿主共生混交性與親和性; ( 2 )評述了根瘤菌宿主植物共生體雙邊固氮改良,包括優良菌株的選育、宿主品種資源共生特性的評價與利用及特異性狀的選擇; ( 3 )討論了我國這一類共生體資源的豐富性以及有必要進一步加大力度研究有益資源的開發和利用的問題。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。In order to measure the contribution of the index in distinguishing the sample classification, this paper defined the concept of index ' s categorization weight, point out the difference in such aspects as concept, properties, determining method, and application between the categorization weight and the importance weight of the index
摘要為了度量指標對區分樣本類別所作貢獻的大小,本文定義了指標分類權重的概念,論述了指標分類權重與指標重要性權重在概念、性質、確定方法及用途等方面的區別。Then, with respect to the objective of minimizing the total experimental cost, the optimal test plan ( including the sample size, inspection frequency, and the termination time needed by the classification rule for each of competing designs ) is derived by solving a nonlinear integer programming with a minimum probability of correct classification and a maximum probability of misclassification
首先,我們提出一種具直觀優點的分?法則,然後以總試驗成本的最小化為目標,並賦予一正確分?的最小機?要求和錯誤分?的最大容許機? ?個限制條件,以決定出在所提出的分?法則下,各競標設計樣式所需的樣本? 、 ?測頻?和試驗終止時間的最佳組合。In the article has simulation weighing system with tdn - ac / acs system and calculate its theory value and compare to the value of identified, then has the mass magnitude size. on the other hand in the article utilize a controlling method. and it controlls the hardware, then it can improve the dynamic weighing system performance and minish the error of the dynamic system
由於控制對稱量精度影響同樣很重要,所以本文還運用了一種控制方法來改善控制過程,由於在不同的環境下,控制的設備不同,系統的一些參數也要變化,這樣如果把控制點確定為固定的值,有時誤差會很大,本文是在每次識別系統一些參數來改變控制點的大小。The optimal pool sizes of the 2 approaches were given by minimizing the expected pooled sample size ; computer simulation was used to verify the outcomes
對最大期望檢測次數進行數學優化,求解最優混合樣本的大小,並通過計算機模擬對有關結果進行驗證。Second, the thesis dicuss the discrepancy of the factor structure of the different sample attribute including identity 、 age 、 degree 、 working years 、 position years 、 department with t test and one - way anova, moreover the staff job satisfaction model is builded with confirmatory factor analysis according to the different identity, and it is obviously different of the factor structure, which loyalty is the most influential to the fomal employee and the less is perfomance examination, salary is the most influential to the informal employee and the less is working press
第二,本文使用t檢驗和方差分析,分別考察員工工作滿意度在身份以及年齡、學歷、工齡、崗齡、部門等統計特徵上的差異,並在此基礎上進一步採用驗證性因素分析方法建立不同的員工身份的工作滿意度模型。在模型中樣本的因素結構存在顯著差異:對正式職工的工作滿意度影響最大的因素是忠誠度,影響程度最小的是績效考核;對招聘職工工作滿意度影響最大的是薪酬,影響程度最小的是工作壓力。One is the direct way in which under the definition of the iopc convention, all the types of damage or losses are evaluated and summed up by means of appropriate mathematics methods according to their characteristics. the another is an indirect way in which the spill information and criteria of the accident ( such as oil amount, oil properties, spill location, spillet area, polluted coast land ) are compared with those of the previous oil pollution compensation cases by means of the fuzzy ranking method, and the damage and losses range of the accident can be obtained based on its similarity to the cases
為此本文提出了間接評估法,即根據船舶油污事故之間所具有的類比性,以及產生損害程度與溢油種類、數量、油膜面積、受污海岸類型和長度等指標密切相關的特點,應用模糊優選排序原理,通過與歷史事故賠償案例的多指標綜合類比,在得到各案例對于「損害程度」的相對隸屬度值后,依據隸屬度的大小將待評估的樣本與其他歷史案例一起進行關于「損害程度」的排序,則可得出此次油污事故的損害程度大小及應賠償的上下限范圍。It can save material. if it is not empty, for the same size, the helix of the lower part of the tube will be lengthened as well, which will waste the cost
節省材料,如果不是空的,同樣的大小,下面的管部分的螺旋同樣要加長的.那樣就浪費成本了To try to gauge the difference between the two places, i left on my adventure with two pre - evacuated glass flasks donated by the australian government to collect the air, a personal air pump to amass particulates on filters, and canisters to bring back water samples
為了測量兩地的差別,我帶上澳大利亞政府贈予的兩個用於收集空氣的玻璃瓶,一個收集過濾器微粒的空氣泵,還有採集水樣本的小罐。In multi - pose face recognition based on a single view : ( 1 ) the technology approaches of multi - pose face recognition are firstly studies based on single view or small samples in details. ( 2 ) a new multi - pose face recognition algorithm is developed based on single view. it first generates the multi - pose face images based on a fit method with a high order polynomial function. then, it does face recognition based on the single view and the generated multi - pose images
在研究基於單視圖的多姿態人臉識別方面,一、詳細研究了基於單視圖或小樣本的多姿態人臉識別的可能技術途徑;二、提出了一種新的基於單視圖的多姿態人臉識別技術,它先基於高次多項式函數擬合方法由單視圖通過變形生成多姿態人臉圖像,后基於該單視圖和生成的多姿態圖像進行多姿態人臉識別,實驗結果表明該演算法識別正確率大大高於經典演算法;三、詳細研究了幾種基於單視圖或小樣本的多姿態人臉圖像生成技術,它們是基於單視圖或小樣本的多姿態人臉識別的關鍵技術。Clustering analysis is one of most heated research topic of the day. data clustering, a unsupervised classifying method, is the process of grouping together similar multi - dimensional data vectors into a number of clusters or bins
聚類就是把一個沒有類別標記的樣本集按某種準則劃分成若干類,使類內樣本的相似性盡可能大,而類間樣本相似性盡量小,是一種無監督的分類方法。The different galactic gravitational potential have not clear influence upon the perigalactic distance, eccentricity and uncertainty of orbital parameters, but which is significant for other parameters, such as the apogalactic distance, semi - major axis, radial period and azimuth period and so on ; ( 5 ) the monte carlo simulation show that : the distribution morphologies of the orbital parameters which are produced by simulation data are separated into three types : gaussian profile, semi - gaussian profile and non - gaussian profile
不同的引力勢模型對近銀心距、偏心率和參數的不確定度等量影響較小,但是對遠銀心距、軌道半長軸、徑向周期和方位周期等參數影響較為明顯。 ( 5 ) montecarlo模擬的結果表明:根據模擬觀測數據得到的軌道參數的分佈形態大致可分為三類:高斯分佈、準高斯分佈和非高斯分佈;觀測數據對軌道參數的影響與樣本的選取、軌道參數的類型等有關。By means of wave model experiments, measure the wave ' s reflection coefficients in front of breakwater, the pressure sizes and distributions inside of breakwater, and the wave weights behind breakwater
通過波浪模型試驗量測了模型樣本的堤前反射系數、堤心內的壓強大小及其分佈、堤后的透射波高。The data is nonlinearly mapped into high dimensional kernel space at first. then a set of feature vectors can be found such that the bhattacharyya distance of the classes mapped into lower dimensional feature space by feature vectors is maximized. thus the upper
該演算法採用核函數把樣本非線性映射到高維核空間,在核空間中尋找一組最優的特徵向量,把樣本線性映射到低維特徵空間,使類別之間的bhattach刪a距離最大,從而使特徵空間中樣本的baycs分類誤差上界最小。This permits the user to resize the text according to personal preference
這樣可以允許用戶根據個人喜好調整文本的大小。There is a natural linear order relationship among the data of one - dimensional sample, so which can be ordered according to the size of the sample points, however, since there is no natural linear order relationship among data of multi - dimensional sample, it is impossible to gain multi - dimensional order statistics in accordance with the order of the size of sample, neither is it impossible to extend many useful methods for one - dimensional nonparametric oiatistics to those for high dimensional ones
對於一維樣本,由於數據之間存在一種自然的線性序關系,故可按照樣本的大小排序,從而得到秩向量。但對于多維樣本,數據之間則不存在自然的線性序關系,無法按照樣本的大小排序而得到高維樣本的次序統計量並由此把一維非參數統計的許多有用的方法直接推廣到高維情形,使得對多元數據的統計分析十分麻煩。分享友人