sample-data system 中文意思是什麼
sample-data system
解釋
采樣數據系統-
Chapter two is data sample of system. it will discuss the data conversion theory, 24bit e - a data conversion, mux - channel switch sampling technology, and emc design. among them, we will introduce the principle and application of ads 1251, application of photomos technology in mux - channel switch sampling, and emc design with hardware and software of gas feed controller, which has good performance in reliability
第二章介紹系統的數據採集，該部分包括24bit -采樣原理、多路信號切換採集技術和電磁兼容設計，其中，主要介紹了ads1251晶元的工作原理和應用， photomos技術在多路信號切換采樣中的應用，以及配氣控制器在硬體、軟體等方面所做的電磁兼容設計，通過這些設計使得系統具有很好的穩定性和抗干擾性。 -
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。 -
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 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。 -
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。 -
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。 -
Then, in the main system, neural network was adopted to construct the response relation between impeller performance and meridional channel design variables, where the training sample data were schemed according to the design of experimental method, and the effect of blade shape on the impeller performance was taken into account and the meridional channel was optimized
然後，在中心系統內利用試驗設計理論安排訓練樣本，採用神經網路建立葉輪性能與子午流道設計參數之間的響應關系，同時計及葉片形狀對葉輪性能的影響，對子午流道及葉片進行優化。 -
Sample data control system
取樣數據控制系統 -
The paper firstly combined the aerodynamic model, pollutant model, traffic model and the optimal operating fans selection model and then established the sample data gaining program to produce the optimal sample data ; secondly, the multi - layer forward neural network and the fuzzy control is combined within an equivalent structure, after the learning of sample data, the neural - fuzzy control system for the road tunnel longitudinal ventilation is produced ; thirdly, the optimal operating fans selection model is replaced by the fuzzy control model to make the tunnel ventilation simulation program, and then the control results under different traffic flow circumstances are evaluated in the matlab environment ; finally, the adaptive ability of the neural - fuzzy control system is discussed
本文首先結合空氣動力學模型、污染模型、交通模型和最優風機開啟臺數選擇模型建立樣本數據獲取程序，利用該程序產生不同交通流下的最優樣本數據；然後，將多層前向神經網路與模糊控制進行結構等價型融合，通過學習最優樣本數據，建立公路隧道縱向通風神經模糊控制系統；之後，用此模糊控制模型替代最優風機開啟臺數選擇模型建立基於模糊控制的隧道通風模擬程序，在matlab下模擬模擬不同交通流下的隧道通風以測評控制效果；最後，對神經模糊控制系統的適應性進行了討論。 -
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。 -
During the course of compiling fault sample, multi - method of knowledge representation, as produce rule 、 frame 、 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
在編輯制粉系統故障樣本過程中，作者採用了產生式、框架式、神經網路產生規則式等知識表達方法，對制粉系統故障診斷知識進行了有效的表達，同時對數據庫進行規范化處理，以保證數據的完整性，減少數據冗餘。 -
It is a difficult problem relates to the structure identification of the system and concerns with the partition of the input and output space and the rule generation of the raw sample data. rough set theory, introduced by zdzislaw pawlak in the early 1980s, is another new powerful mathematical tool to deal with vagueness and uncertainty. it can analyze the imprecise, inconsistent and incomplete information effectively, find out the connotative knowledge and detect the potential rule of the system under consideration
由z . pawlak提出的粗糙集理論是一種刻劃不完整性和不確定性的又一個強有力的數學工具，能有效地分析不精確（ imprecise ） 、不一致（ inconsistent ） 、不完整（ incomplete ）等各種不完備的信息，還可以對數據進行分析和推理，從中發現隱含的知識，揭示潛在的規律。 -
Fifthly, the paper utilize the fuzzy mathematics principle to analyse model setting up, model discerning, fuzzy decision - making process of fuzzy mathematics, the conclusion is drawn that we appraised mould cost with fuzzy similar comparative method, with fuzzy mathematics the expert ' s behavior is simulated as well as the useful information is drawn lastly, the fuzzy similar appraisal mathematics model on basic of man - hour method is set up, the characteristic factors to describe automobile covering of mould and coefficient of influence factor to synthetically judge similar work are confirmed which raises the precision of price by mathematics foundation, work characteristic sureness, influence factor sureness, management of sample data, etc. of weight of factor of model, the paper set up more intact theoretical system of mould price estimate with fuzzy similar comparative method
建立了基於工時法的模糊相似評價數學模型，確定了描述汽車覆蓋件模具的特徵因素；並確定了綜合評判工件相似性所用各影響因素的權重集合，提高了模具價格估計的精度。通過對數學模型的建立、工件特徵因素的確定、影響因素權重的確定、樣本數據的管理等的研究，本文較完整的建立了利用模糊相似比較方法估算模具價格的理論體系。在分析模具報價流程和決策過程的基礎上，開發了汽車覆蓋件模具計算機輔助報價系統，該系統安全、方便、準確。 -
Markov chain is suitable for short - term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium - term forecast of few capacity sample data sequence
馬爾柯夫鏈適用於大樣本數據序列的短期預測，而灰色系統預測方法適用於小樣本數據的中期預測。 -
Sample - data system
取樣數據系統 -
The model construction includes rating methods analyzing, index system and rating factors setting, sample data preprocessing and structure designing of neural network based on bp algorithm
模型的建立包括企業、個人評分方法的分析、評分指標體系的確定、樣本數據的預處理和bp演算法神經網路結構的設計。 -
As an vxi equipment designed for testing complex data system, it wins through the shortcomings of traditional test method which uses signal generator to supply stimulus and utilizes logical analyzer to sample response data. it can achieve complicated cooperation between stimulus and response by sampling response data in the single period and then comparing it with the expectation data while imposing test stimulus on the test objective
它是為滿足復雜數字系統的測試需要而設計的vxi器件，克服了用數字信號發生器提供激勵並使用邏輯分析儀採集響應數據這種傳統測試手段的不足，在激勵和響應之間實現復雜的聯動配合，將測試激勵施加於被測對象的同時，在單周期內採集響應數據並與預期數據實時比較。 -
Dsp can deal with the sample data at real time and auto calibration, take off the load of master cpu, reducing the quantity of hardware and improving the system reliability. there is 32k word flash ram which can be used as program memory in f206, which is favorite to update the system in the future. 4
利用dsp強大的數據處理能力，可以對採集到的數據進行實時處理和自動校準，減輕了主機的負擔，減少了硬體的使用，提高了系統的穩定性； f206具有片內的32k字閃存存儲器，減少了片外存儲器的使用，降低了開發成本，而且將來可以進行在線升級。 -
This work is contributed to the design and the construction of the traditional expert system part of the mixed system. firstly, we deal with sample data provided by a bank in fujian and abstract financial ratios by statistical methods ; secondly, we construct knowledge base according to area - knowledge of credit assessment, and design a priority - based forward - inference engine and a fact - based automatic explaining mechanism ; thirdly, we adopt object - oriented technology to analysis the system and construct object model and functional model of expert system ; finally, by using access database to construct system knowledge base, and c + + builder software to program, we develop a credit assessment prototype system based on mix - expert system
以某銀行提供的企業樣本數據為基礎，在完成對樣本數據處理、抽取財務比率等基本工作后，根據信用評價領域知識的特點構建了系統的知識庫，設計了基於優先級的正向推理機制與基於事實的自動解釋機制，然後採用面向對象技術對系統進行分析，建立專家系統的對象模型和功能模型，在此基礎上，採用access數據庫設計系統的知識庫，採用c + + builder開發軟體實現了基於混合型專家系統的可視化信用評價系統原型。
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