artificial sample 中文意思是什麼

artificial sample 解釋
模擬抽樣
  • artificial : adj 1 人工的，人造的；人為的 （opp natural）。2 摹擬的 （opp genuine real）; 不自然的，矯揉造作的...
  • sample : n 1 樣品，貨樣。2 標本；榜樣，實例。3 【統計】典型取樣，抽檢查。4 【電訊】信號瞬時值。5 【冶金】 ...
  1. They are jinfo mountain in nanchuan county ( natural protection section ), wuling mountain in qianjiang county ( national emphases forest demonstration county which forest cover rate is beyond 50 % ) and zhongliang mountain in beibei county ( artificial destruction is very grave ). some main land use patterns i. e. woodland, garden, infield, abandon infield, shrub and grassplot are selected in those three sample sites. four aspects on soil fertility index of karst environment under different land use patterns in these three sample sites, are revealed in this paper, by using the field test, indoor measure and analysis, outdoor experiment and field investigation, and the knowledge and technique of soil, ecology, physics and chemistry etc. they are physical characteristic ( effective soil thickness, organic layer thickness, soil texture, water - stable aggregate and soil water etc. ), chemical fertility ( organism, omni - n, omni - p, omni - k, alkali - nitrogen, available p, available k and rapid available k etc. ), soil animalcule ( bacteria, fungi, actinomyces and their grosses ) and soil - seed - pool ( plant community diversity index ) in karst ecosystem

    本研究以重慶市的南川金佛山（自然保護區） 、黔江武陵山（國家重點退耕還林示範縣，森林覆蓋率50以上）和北碚中梁山（遭人為破壞嚴重）典型巖溶區為對象，選擇了幾種重要的利用方式，包括林地、果園、耕地、棄耕地和灌草坡，採用野外巖溶生態調查和室內試驗測量分析相結合的方法，以不同土地利用方式巖溶土壤肥力為重點，對不同土地利用方式土壤肥力特徵進行量化分析，找出巖溶土壤肥力差異的主要方面及其根本原因，論文主要從土壤剖面物理退化指標（有效土層厚度、有機質層厚度、質地、團聚體、水分含量等） ，化學肥力退化指標（有機質、全n 、全p 、全k 、堿解n 、速效p和速效k等） ，樣地土壤微生物指標（細菌、真菌、放線菌數量及總量）以及樣地土壤種子庫植物群落多樣性等4個方面對重慶典型巖溶區的土壤肥力特徵進行了較為詳細的分析研究，為巖溶地區士壤資源的合理利用及結構的調控管理提供依據。
  2. With the corrected parameter files, the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system. artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment. the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described

    在核保障核查測量中和實物監測中，測量對象往往是規格確定並種類有限的元件或部件，只需要關心測量對象的屬性是否發生了變化，或者對同一種類的放射性樣品的一致性做出判斷，這種要求下使用神經網路方法是比較適宜的，並且神經網路方法是與探測器和探測效率無關的。
  3. One end face of optical fiber sample sets on the carring - table of the micr - oscope is observed, selecting appropriate amplification, afterwards, take a ph - otograph with a ccd camera, then the picture was sent to the computer by the photograph - gathering card. the image is processed with a software automatic - ally, so this method can reduce artificial errors

    具體方法是：將待測光纖製成品的一段樣品橫截面置於顯微鏡下，經顯微鏡放大，選擇合適的放大倍數，然後用ccd攝像頭攝像，利用圖像採集卡將放大后的圖像採集進計算機，利用圖像處理技術，通過軟體進行處理，從而實現處理過程的完全自動化，減少人為測量誤差。
  4. It is discovered that artificial skull is marinated in simuted body fluid : the sample surface like - boneapatite belongs to carbonic acid hydroxide apatite, which can have good combination with human body orginzation

    而且試樣表面生成近似球形或片狀的類骨磷灰石，屬于與人體組織具有良好結合的碳酸羥基磷灰石。
  5. In this paper, an approach of the systematic artificial neutral net was introduced into the analysis on the ship - against - bridges probability with a computer programs. based on the basic data of the present 12 typical bridges as the sample, 4 chief influential factors as the input coefficient, such as the bridge span, the water flow rate, the incline angle between water flow direction and the direction normal to bridge axis, and the curve in the course near the bridge area, with the ship - against - bridge probability as the output coefficient, the intelligent judging system of the ship - against - bridges probability reflecting the influence of the above input parameters is obtained after training

    本文首次將人工神經網路系統方法引入了船撞橋概率的研究當中，編制了計算程序，成功地以現有12座典型橋梁的基礎數據為樣本，以橋梁跨徑、水流流速、水流方向與橋軸法線的夾角以及橋區航道彎曲度等4個船撞橋主要影響因素為輸入參數，以船撞橋概率為輸出參數，經訓練得到了能較好地反映上述輸入參數影響的船撞橋概率判斷系統。
  6. By means of trigonometrical progression method and the mainline track spectrum, the sample function of the chinese mainline railway track random geometric irregularity is simulated. with the data obtained from track geometry inspection car on qinhuangdao - shenyang special line for passenger transport and arma time series model, the sample function of high - speed railway track random geometric irregularity are simulated. based on existing literature, the artificial bogie crawl waves at various different speeds are randomly simulated

    根據我國干線鐵路軌道譜，採用三角級數法模擬出干線鐵路和準高速鐵路軌道不平順的樣本函數；根據秦沈客運專線高速試驗段軌檢車資料，採用arma時間序列模型模擬了高速鐵路軌道不平順隨機樣本函數；在既有研究資料的基礎上模擬出各種速度客車構架人工蛇行波；用隨機變量描述道床橫向剛度，並進行了隨機模擬；將振動理論和穩定理論結合建立系統的分析模型和運動方程；根據monte ? carlo法編制了車輛?軌道耦合系統隨機振動分析程序，進行了無縫線路隨機動力響應分析，通過試驗對計算模型、計算方法進行了驗證。
  7. The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability

    （ 3 ）運用線性回歸預報方程和三種人工神經網路模型對福建汛期旱澇進行預測的實驗表明： bp 、徑向基（ rbf ）和elman這三種人工神經網路模型在歷史樣本擬合精度上、獨立樣本檢驗結果和網路模型的實際預測能力上都明顯優于傳統的線性回歸方法。
  8. For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb ， analyses the preprocessing technology of sample data ， introduces the application of clustering analysis ， and finally completes the rule extraction by applying knowledge - based artificial neural network. considering distributed parameters ， nonlinear ， and long time lag system of cfbb ， the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb ， and enables control rules extraction on - line. the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed ， embedded to the control system of a 35 t / h cfbb in tsingtao ， and finally improve the performance of cfbb effectively

    本文還針對流化床鍋爐運行的非線性嚴重、大滯后、不確定性大等特點，研究了基於數據挖掘優化的模糊神經自組織控制策略在循環流化床控制系統中的應用，使規則獲取可以在線進行；並編制了數據挖掘模塊優化自組織控制模塊，應用到青島35t / h循環流化床鍋爐的控制系統中，提高了鍋爐的運行水平和效率，取得了良好的效果。
  9. After researching the application of artificial neural network to fault diagnosis of transformer, the back propagation algorithm is improved observably. inducting chaos dynamics principium to create chaos neural network back propagation algorithm and using the pretreatment of training sample, the emulation program show that this method is effective

    本文深入研究了人工神經網路在變壓器故障診斷中的應用，對目前最常採用的bp演算法做出了較大改進，在原有演算法中引入混沌動力學原理構造了混沌神經網路bp演算法，並提出了訓練樣本集的預處理方法，在模擬訓練中取得了滿意的效果。
  10. An example of faults diagnosis in a complicated electromechanical system - horomill is cited ; and according to its concrete features, this thesis covers the measuring and the collection of fault feature information, the composition of the software and the hardware of faults diagnosis system, and the collection of sample books. the author takes the algorithm of faults diagnosis of artificial neural networks to emulate the faults diagnosis of the horomill system. th e thesis proves the feasibility and the superiority of faults diagnosis of the artificial neural networks - based electromechanical system

    以輥碾磨這一復雜機電系統的故障診斷為實例，針對輥碾磨的具體特點，研究了故障特徵信息的檢測與提取、故障診斷系統軟體和硬體的構成以及學習樣本的選擇方法，並利用人工神經網路的故障診斷演算法對該系統的故障診斷進行模擬，證明了基於人工神經網路對機電系統故障診斷的可行性和優越性。
  11. Compared with conventional statistic classifier, the artificial neural network ( ann ) has been developed and applied to remote sensing data classification problem, which does n ' t need suppose parameterized distribution of sample space in advance

    與傳統統計方法的分類器相比較，人工神經網路法不需要預先假設樣本空間的參數化統計分佈，正在被越來越普遍的應用於遙感圖像分類的研究。
  12. Based on the summary of previous evaluation methods, this paper points out the shortcomings of them, then draw the theory of artificial neural network into risk evaluation, through an example of some kind of investment project and the training and examination of a group investigation sample, it sets up the artificial neural network model. at last, this model is applied to the real case of an engineering project to evaluate its risk level and satisfactory result is made ; in the fifth chapter of this paper, the main risk factors that affect the economic appraisal of the engineering investment project are described through the form of relationship chart. then it is proved by way of deduction of formula that the risky influence that is brought by inflation must be considered in the engineering investment project

    本文在對以往評價方法進行歸納總結的基礎上，指出其中存在的不足之處，將人工神經網路理論引入到風險評價中，以某一類投資項目為例，通過對一組調查樣本的訓練和檢測，建立了工程投資項目風險評價的人工神經網路模型，並通過實例對模型進行了驗證，取得了滿意結果；在本文第五部分，對影響工程投資項目經濟評價的主要風險因素以關系圖的形式進行了描述，然後通過公式推導證明了在工程投資項目中應該考慮通貨膨脹帶來的風險影響，接著在分析以往建立的經濟評價凈現金流量表達式存在不足的基礎上提出了另外一種方式的表達式，即凈現值解析模型，對該模型的求解進行了詳細的說明，並分析了如何恰當的選擇各風險變量的概率分佈，最後在考慮投資者風險偏好的前提下，提出了工程投資項目新的風險度量模型。
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