sample data 中文意思是什麼
sample data
解釋
采樣數據-
Testing on rock sample data in dispersed shaly sands it shows that adding another parameter ( n ) to the model can decrease the relative error of fitted co. however, when we consider the difference of electrical properties between clay - bound water and formation water in the model, although another parameter ( qv ) is added to the model, the relative error of fitted co is increased slightly
通過一組分散泥質砂巖巖樣實驗測量數據的計算。表明模型中增加參數n （ m n ）可以使擬合的c _ t的相對誤差減小，但在考慮粘土結合水與地層水導電性差別時，模型中雖多加一個參數q _ v ，卻沒有減小擬合的c _ t的相對誤差。 -
A. teel, d. nesic etc. initially studied iss stabilization of nonlinear sample - data systems of this type in 1998. practical stabilization of nonlinear sampled - data systems based on discrete - time approximation with sufficiently small sampling periods has been studied in recent years. the sufficient conditions have been given for the practical st abilization of the above case
第三部分：在采樣周期固定的條件下，研究基於近似離散化模型上設計的關于參數t一致的漸近穩定采樣控制器能夠以漸近穩定方式一致鎮定其連續受控系統的條件。 -
Its core arithmetic is i d3 and ftart. to guarantee the sample data as science, entireness, typical, and accurate, the author selected the samples from the investigating network of shanghai statistic bureau, which were composed of 300 households in total and 292 effective samples were defined finally. the research lasted a period of one year and data collected within each season
為確保研究樣本數據的科學性、全面性、典型性和準確性，筆者結合由本人主持完成的香港理工大學itc的「中國家庭服裝消費結構狀況及影響因素」的課題研究，採用了上海統計局家庭計劃調查網路，抽取樣本300戶，回收有效問卷292份，整個調查歷時一年，分四季完成。 -
Estimating these models, and fitting sample data lead to a conclusion that the smooth transition autoregressive model is the best one which describes the rmb ' s real exchange rate behavior well
通過對這些模型的估計，以及在所估計的模型的基礎上對樣本數據進行擬合，發現了最適合中國人民幣實際匯率的動態行為的模型，進而對人民幣實際匯率的行為進行更深入的分析和討論。 -
The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method
本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。 -
To verify the effectiveness of the proposed hybrid fnn, this thesis addressed the estimation problem for the frozen point of light cyclic oil in a fluidized catalytic cracking unit ( fccu ) in a refinery. based on the sample data collected from the industrial unit, we built a soft sensor model by using an above hybrid fnn
最後，針對某煉油廠催化裂化裝置主分餾塔輕柴油凝固點的軟測量估計問題，本文基於工業現場所採集的樣本數據，建立了混合結構神經網路模型，並討論該模型的在線自學習問題，同時與多層前向bp網路、徑向基函數rbf網路模型進行了比較。 -
Visual basic has been used to interpolate points on the front and the rear b - splines ; compare the sample data with the original data of fan
利用b樣條曲線插值運算計算葉片引導線上點的數據，並與原始的cad模型進行比較以確定預補償模型的變形大小。 -
Before the bp neural net forecast fire size class, it needs a process of studying from sample data. the neural net adjusts the weight value and threshold value according to the sample so as to give the linking weight value and threshold to low the difference between output from itself and the expected value
Bp網路在應用於預測預報之前，需要一個網路學習過程，網路根據輸入的訓練（學習）樣本進行自適應、自組織，確定各神經元的連接權w和閾值。 -
After half a years application of the first cad system, huanuo could directly receive the sample data by e - mail. the system engages in all of the process in pattern making and grading and parts of marker making and drafting, instead of labors. it dramatically reduces the labor - cost and materials wastes and greatly increases the efficiency and products quality, bring obvious economical and social benefits. as a large - scale enterprise, only one system can not satisfy the needs sufficiently
引進第一套日升服裝cad系統以後，經過半年多的使用，華諾公司已經可以通過電子郵件直接從日本接收樣板數據全部制板放碼及部分排料畫皮工作已經由服裝cad系統替代了人工，為企業節省了大量的人力物力，大大提高了工作效率和產品質量，給企業帶來了明顯的經濟效益和社會效益。 -
The frontier production function, a parametric function of any form, can be estimated by sample data. this study shows that the projected panel data, which is the inputs and relative exponential maximum output data set, obtained by conducting the data envelopment analysis with the log inputs and output, is approximately piecewise cobb - douglas under a certain assumption
根據前沿生產函數的定義，本文利用投入產出的對數形式和數據包絡分析方法求出了相對指數最大產出，並證明了在一定的條件之下，這種數據結構即所謂的支撐面板數據具有分段近似cobb - douglas性。 -
The likelihood ratio tests indicate the null hypothesis of exact linear aggregations and identical preferences across income groups are rejected by the sample data
檢定統計量概似比值顯示樣本資料拒絕需求模式設定?線性加總，和不同所得組別需求偏好結構是一致之虛無假說。 -
The fault samples with the signal of zero or one and the model of bp neural network are established, in accordance with nine faults of pulverizing system for chongqing power plant. during the course of the samples compilation, produce rule 、 neural network representation etc are synthesized to organize and express the fault sample of pulverizing system. before being putted into the database, the sample data is disposed to ensure sample data integrity and no redundancy
本文針對重慶發電廠制粉系統九種故障建立了以0 、 1為徵兆量的故障樣本和相應的bp神經網路模型，且在制粉系統故障及其相關故障樣本編輯過程中，應用了神經網路產生規則式、框架式等知識表達方法，有效的表達制粉系統故障及其相關故障診斷知識，並且為保證數據的完整性，減少數據冗餘，對數據庫進行了規范化處理，簡化了數據結構和避免了數據沖突。 -
The usability of system is proved by the sample data
通過對樣本數據的判斷識別，證明系統的可用性。 -
Based on rough sets theory, crude domain knowledge rules are extracted ; dependent factors and antecedent coverage factors of rules are calculated from sample data
該方法充分利用軟計算中的模糊集合理論，人工神經網路，粗糙集理論和遺傳演算法等計算方法優勢，彌補它們相互的不足，進行故障診斷。 -
The paper involves the research of the application of neural - fuzzy control method to the road tunnel longitudinal ventilation system : by learning the sample data, the neural network automatically produces the membership functions and the control rules, subsequently, the fuzzy control model is easily established ; the distribution of pollutant and the fan operation is simulated under the varies traffic flow circumstances, the simulation results show that the longitudinal jet ventilation in medium - length and long road tunnels can be effectively controlled with the application of above method
本文提出了建立公路隧道縱向通風神經模糊控制系統的一般方法，利用神經網路學習樣本數據，自動提取建立模糊控制模型的隸屬函數和控制規則，通過模擬模擬各種交通狀況下的污染物分佈和風機運行情況，結果表明此方法對中長隧道全射流縱向通風具有良好的控制效果。 -
Abstract : objective : to test the scientific quality, stability and credibility of case classification by means of using great sample data
文摘:目的：用大樣本數據測試病例分型方法的科學性、穩定性、可靠性。 -
Displays sample data with the format option applied
顯示應用了格式選項的示例數據。 -
The system sample data by ccd camera, process the data by dsp and harmonize the peripheral equipments by pc for sorting the impurity and displaying the cotton in the pipeline. the main algorithms of the system are sorting and coaching
該系統通過ccd攝像頭采樣，用dsp進行高速數據處理，通過工控機總體協調控制相應外圍設備剔除不符合標準的雜質並實時顯示管道中流動的棉花。 -
By combining the operators ? experience and the sample data, this paper presented how to build the model of customer fraudulent with bayesian network based on the data mining
將電信業務人員的經驗知識和樣本數據相結合，在數據挖掘技術的基礎上，提出了一種基於貝葉斯網路的電信話費欺詐建模方法。 -
The paper is an attempt to put forward fitting julyk distribution curve by statistic histogram curves fitting based on area constraint and to estimate whether sample data meet normal distribution or not
摘要提出利用基於面積約束的統計直方圖密度擬合方法把試捲成績樣本數據擬合成一條連續的曲線，並判斷樣本數據是否符合正態分佈。
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