預測專家系統 的英文怎麼說

中文拼音 [yùcèzhuānjiāxìtǒng]
預測專家系統 英文
afes
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 專 : Ⅰ動詞（獨自掌握和佔有） monopolize; take possession alone Ⅱ形容詞（集中在一件事上的） concentrate...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. Presents the application of fault prediction technique and the way of predicting its numerical values, the algorithm given for the neural network model in the prediction process, and illustrates with the gas pipeline of a space propulsion system as an example the realization of fault prediction by combining the neural network and the fault prediction technique with the diagnosis expert system to form a fault prediction system

    探討了故障預報技術的應用及其數值預測方法，給出了神經網路模型在預測過程中的演算法.把神經網路、預測技術和診斷專家系統相結合建立了一個故障預報系統；以空間推進系統氣路部分的故障為例，實現了故障的預測
  2. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  3. There are many methods to gas load forecasting, including : regression analytical method, time serial method, elasticity coefficient forecasting, index analytical method, grey method, fuzzy logic forecasting, artificial neural network forecasting model, experts system forecasting model, optimizing combination forecasting model, etc.

    用於燃氣負荷預測的方法很多，包括:回歸分析法、時間序列法、彈性系數預測法、指針分析法、灰色預測法、模糊邏輯預測法、人工神經網路預測法、專家系統預測法、優化組合預測法等。
  4. The main contribution and research works are as follows : 1. based on mechanism modeling basic state space equation was built. and then by exploiting expert knowledge, operational experience and logical constraints in systems, industrial process hybrid model was built. stability of this model was defined and the method of designing controller based on predictive control was present

    結合機理建模和數據建模，利用機理建模的方法建立系統的基本的狀態方程，再利用專家的知識、操作工的經驗、系統本身的邏輯關系，將這二者聯系在一起，建立系統的結合邏輯與規則的混雜模型，討論了此類混雜模型穩定性的定義，並給出了基於預測控制的設計控制器方法以及預測控制系統穩定性條件。
  5. Fuzzy expert system for coal and gas outburst

    煤與瓦斯突出預測模糊專家系統
  6. In the paper, the following main factors are studied, such as developing the expert knowledge - base based on the special knowledge of the explosive demolition of frame building, designing the object - oriented expert system of the explosive demolition of frame building, developing the neural network training example base based on projects, developing the forecasting mode of blast effects with matlab 6. 1, developing the expert system of explosive demolition of frame building with visual b 6. 0, carrying out the connection of the expert system and forecast mode. the system consisted of eleven functional modules, such as the input of initial parameters module, the choice of the blasting method module, the choice of blast mode module, the design of blasting parameters module, the design of charge module, the verifying blasting safety module, the calculating safety of tumble module, the design of detonating net module, the blast effects forecasting module and the calculating volume module

    本文的研究內容有：以框架結構樓房拆除爆破領域的專業知識為基礎製作專家系統知識庫；設計一般面向對象的框架結構樓房爆破拆除設計的專家系統；搜集相關爆破工程實例製作用於爆堆效果預測神經網路訓練的樣本數據庫；選取適當的輸入輸出因素，用matlav6 . 1構建爆破效果預測神經網路模型；用vb6 . 0編程開發出框架結構樓房拆除爆破專家系統，並實現爆破效果預測神經網路模型和專家系統的鏈接。該系統由初始參數輸入、倒塌方法選取、倒塌方案確定、孔網參數設計、缺口形狀及參數、爆破安全校核、傾倒安全校核、爆破網路、爆破效果預測、工程量計算、計算設計說明書等十一大功能模塊組成。
  7. And it would be applied to other blast furnaces after some modifications. to improve the quality of the model, some methods should be used in future : l. impoving the database and making it have more information. 2. considering the mass and thermal accumulation and calculating the effect of the data of every period

    2 、模型在作動態計算時，使用日平均數據來調整參數，而用即時的數據來計算預測值，這種方法盡管有一定的科學性，但要提高模型的準確性，必須考慮到高爐內物料和熱量的積累，考慮各個時段入爐物料對化學平衡和熱平衡的影響，根據專家系統和神經元網路的方法，得到更為完善的模型。
  8. Nowadays, the study of aluminum electrolysis has got a continue progress. fussy control, neural net, predict control and other artificial intelligence technology have been applied to aluminum electrolysis production. all of these build a stable base of aluminum electrolysis production of stability index and other economy indexes

    目前鋁電解的控制技術水平在不斷提高，創新技術層出不窮，模糊控制、神經網路、預測控制、專家系統等人工智慧控制技術用於鋁電解生產過程式控制制已有諸多成功的範例，為鋁電解生產穩定性和技術經濟指標的不斷提高奠定了堅實基礎。
  9. ( 8 ) develop the rubber mixing quality forecasting expert system ( rmes ) by using this paper ' s theory. and has a effective application in a large rubber factory

    （ 8 ）使用本文理論設計了橡膠質量預測專家系統（ rmes ）並在某大型橡膠煉制企業中取得了良好的應用效果。
  10. Today, a lot of application systems combine with gis, such as diagnosis expert system including the diagnosis the varies aspects of society, economy, and agriculture ; forecast expert system including the forecast of weather, hydrometeorology, population, geography, economy, military affairs, politics, etc ; decision supporting system including the aspect of engineering design, programming, consultation, management etc. the traditional gis system can only use mathematic method to describe and explain the confirmed programs but the power of making space decision and solving the uncertain programs are very weakly

    現在許多應用系統所涉及到的問題都與地理信息有關，例如：診斷專家系統中的社會、農業、經濟等方面的各種診斷和排錯系統；預測專家系統中的氣象、水文、人口、地理、經濟、軍事以及政治等方面的預測分析系統；工程設計、規劃、咨詢和管理決策等方面的專家系統，都離不開地理信息的支持。但是，傳統的地理信息系統（ gis ）解決問題的方法和模式基本上都是以數學方法為基礎建立的，所能解決的有關地理問題也主要是那些能夠用數學方法描述和解釋的具有確定性解的問題，在解決空間規劃決策中有很大的不足。
  11. Abstract : using a new method and software ( spawgis ) which is developed for evaluating water delivery system damage states and serviceability, the seismic performance of the teda ( tianjin economic developed area ) water delivery system has been assessed. the method is involved the expert system for predicting damage of water delivery system and software based on gis. the example demonstrates that the program is robust and efficient

    文摘:用天津開發區供水系統作為實例，研究了地震作用下該系統的震害，及震后供水功能失效狀態.實例研究表明，所採用的最新研製的供水系統地震反應分析軟體（ spawgis ）是可靠的，同時還證明，該軟體所基於的方法，包括震害預測專家系統及失效流分析等方法是正確的
  12. The software of diagnosis and prediction for boiler fault is developed by using fuzzy modular networks and recurrent composed networks, and the method of mixed knowledge representation and expert system technology etc are used in this paper

    本文應用模糊模塊化神經網路和遞推合成bp網路，並結合混合型知識表示和知識獲取方法、基於知識的專家系統等技術對鍋爐故障診斷與預測問題進行了研究，開發了鍋爐故障診斷與預測軟體。
  13. Taking in - situ toughened silicon nitride as a design object, principle component analysis ( pca ) is applied to study the microstructure and mechanical properties, to find out the main microstructure controlling factors, and to simplify the characterization variables and criterions ; fuzzy neural networks ( fnns ) is also applied to develop a design expert system for this material, which can realize the forward prediction from processing, microstructure to mechanical properties, and backward design from mechanical properties or microstructure to processing ; monte - carlo method is applied to simulate the grain growth of this material, and then crack propagation is simulated, which is another way based on physics and chemistry to developing prediction models from processing until to mechanical properties

    本文以自增韌氮化硅陶瓷為設計對象，運用主成分分析法（ principlecomponentanalysis ： pca ）對自增韌si _ 3n _ 4陶瓷的顯微結構和力學性能進行數據空間降維，獲得自增韌si _ 3n _ 4陶瓷顯微結構控制的主要因素，進而簡化了表徵參量變量和準則；運用模糊神經網路（ fuzzyneuralnetworks ： fnn ）建立了自增韌si _ 3n _ 4陶瓷設計專家系統，能實現工藝?微結構?性能的正向預測及反向設計；運用monte - carlo方法（ mc ）進行自增韌si _ 3n _ 4陶瓷的晶體生長模擬，然後進行裂紋擴展模擬，探索建立工藝?微結構?力學性能預測模型的思路。
  14. Then on the basis of the integrated monitoring system, we build the engine room information intelligent system that is based on the diagnosis knowledge, centered with integrated intelligence, and by the way of aided decision, the system provides the functions of fault auto - detection, aided diagnosis, trend prediction and etc. the fruit of research has general meaning to the whole marine information intelligent system. zhang jin ( power electric and electronic drive ) directed by prof. li hailianq and prof. tang tianhao

    本文將基於模糊技術、專家系統和人工神經網路的智能集成方法應用於復雜系統的故障診斷和預測分析，進而在自動集中監測系統的基礎上，建立了以集成智能為核心，以診斷知識為根本，以輔助決策為手段的具有故障自動發現、輔助診斷、趨勢預報等功能的船舶機艙信息管理系統。
  15. The main research content of the article is involved as follows : ( 1 ) the research and discussion of the quantitative metallographic analysis methods and the measuring methods of micro hardness. ( 2 ) the application of digital image technique in metallographic image preprocess such as gray level transformation, dichotomy, noise eliminating, dilation and erosion, image enhancement, boundary detection, etc. the application of the wavelet and multi - resolution analysis in metallographic image procession to improve the measuring accuracy and efficiency. the application of the region growth and mathematical morphology in analyzing image parameters to improve the flexibility and exaction

    本文的主要研究內容： （ 1 ）定量金相分析和顯微硬度測量的方法研究； （ 2 ）利用數字圖像處理技術，實現金相圖像的灰度轉換、二值化、噪音消除、膨脹收縮、圖像增強、邊緣提取等預處理；引入小波理論、基於數學形態學的區域生長法對采樣圖像進行分析，實現了對採集圖像邊緣的有效提取，從而提高了測量精度； （ 3 ）開發了金相圖像分析系統的主體結構（硬體結構和軟體結構） ； （ 4 ）採用windows開發平臺的面向對象程序設計語言microsoftvisualc + +進行系統的模塊化設計； （ 5 ）提出了採用多模式的知識表示方法建立知識庫，應用正反推理、模糊數學模型、基於規則的模式匹配模型建立金相分析專家系統。
  16. By means of the trend prediction analyses with the neural network based expert system and the artificial intelligent prescient maintenance system, automatic online judging and fault forecasting to the conditions of the waterflooding power package can be attained

    系統採用基於神經網路的專家系統進行趨勢預測分析及人工智慧預知維護系統進行判別決策的方法，實現了對注水機組狀態的自動在線判斷和故障預報。
  17. Aimed at the defects in the classical agriculture expert system, such as the lack of dynamic prediction function, mechanism illumination and low utilance, an improved framework of distributed agricu1ture expert system based on artificial plant growth model is proposed

    摘要針對傳統農業專家系統存在著缺少動態預測功能及機理性解釋的不足和利用率低的缺點，設計了一種虛擬植物生長模型、農業專家系統和分散式虛擬現實技術的集成框架。
  18. Aimed at the defects in the classical agricultural expert system, such as the lack of dynamic prediction function, mechanism illumination and low utilance, an improved framework of distributed agricultural expert system based on artificial plant growth model is proposed

    摘要針對傳統農業專家系統存在著缺少動態預測功能及機理性解釋的不足和利用率低的缺點，設計了一種虛擬植物生長模型、農業專家系統和分散式虛擬現實技術的集成框架。
  19. Supported by the gis technology, the research field of the mineral resources assessment and metallogenic prognosis is tending to develop expert systems of mineral deposit model by dealing with the temporal and spatial distribution of mineral resources and building quantitative models of multiple metallogenic information

    以gis為主要支撐技術，分析礦產資源的空間分佈，研究多元成礦信息定量模型，發展礦床模型專家系統成為礦產資源評價及預測的基本趨勢。
  20. Based on the above purpose, in this paper, aiming at the questions in the past landslide prediction, such as sole research technique, backward method and theory achievement with weak practical, application and so on, time prediction and evaluation of landslides is emphatically researched from quantitative, qualitative and numerical modeling three aspects on the basis of widely consulting the domestic and foreign documentation and material related to landslides forecast. according to landslide monitor material, landslide quantitative prediction is realized by using landslide prediction and evaluation models ; on the basis of experts " experience knowledge, landslide qualitative prediction is realized by using the method and way of expert system ; landslide numerical prediction is realized by using simulation method to establish geology - mechanics - distortion model ( gmd )

    基於上述目的，本論文針對過去滑坡預報的研究方法單一、手段落後，理論成果的實際應用性不強等問題，在廣泛查閱國內外有關滑坡預測預報文獻資料的基礎上，著重從定量、定性和數值模擬三個方面對滑坡的時間預測預報開展研究：依據滑坡的監測資料，運用滑坡預測預報模型實現了滑坡的定量預報；以專家的經驗知識為依據，運用專家系統的方法和手段實現了滑坡的定性預報；利用數值模擬手段，通過建立滑坡的地質?力學?變形模型（ gmd模型）實現了滑坡的數值預報。
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