神經專家系統 的英文怎麼說

中文拼音 [shénjīngzhuānjiāxìtǒng]
神經專家系統 英文
neural expert system
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 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 ...
  • 神經 : nerve; nervus
  • 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. The experimental results show that the system constructed by this method has the virtues of robustness, flexibility, explicable ability and self - study capability, since the new method has got both the merits of expert system and of neural network

    實驗結果表明，混合型專家系統既具有專家系統靈活性、解釋性的特點，又具有神經網路魯棒性、自學習能力的特點，因此非常適合用於企業信用評價，具有廣泛的應用前景。
  2. The thesis presents a expert system for identifies power quality disturbance signal, after compare the artificial neural network, nearest neighbors, fuzzy decision, and expert system. we bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. this project for disturbance classifies has lower mistake ratio and facility maintenance

    採用專家系統的方法進行模式識別，在對神經網路、最近鄰法、模糊邏輯和專家系統及一些交叉方法等模式識別方法進行比較分析的基礎上，根據電能質量信號故障分析的特點，提出了採用規則基專家系統的方法，該模式識別方法具有便於擴展、修改和識別率高等特點。
  3. Based on the spaceflight technology innovation program of “ research on the testing method of reliability - - - - research on the fault diagnostic expert system and neural network ” and the pre - research defense projects of “ research on longevous service and high reliability of satellites ” of the national tenth - five - year plan, taking attitude control system of a satellite as object, the theories and the applications of the neural networks and expert system in the fault diagnosis are studied in this dissertation

    本文以航天技術創新基金項目「可靠性試驗方法研究? ?故障診斷的專家系統神經網路技術研究」和國家武器裝備「十五」預研項目「衛星長壽命高可靠性技術」為背景，以衛星姿態控制系統為研究對象，在理論和實踐兩個方面對神經網路和專家系統相結合的故障診斷技術及其在衛星中的應用進行了研究。
  4. The system fully exploited the superiority of pc104 embedded computer in low cost and high reliability, using various detectable signals from construction machinery and combining nerval network with expert system to realize condition warning and failure diagnosis of construction machinery

    該系統充分發揮pc104嵌入式計算機低成本、高可靠性等優勢，利用工程機械上多種可以測取的信號，將神經網路與專家系統相結合，可實現工程機械的狀態報警和故障診斷。
  5. An ann - based expert system for index forecast of ore dressing

    基於人工神經網路的選礦指標預報專家系統
  6. Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last

    在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。
  7. The expert system gets most part of knowledge and ratiocinates by using ann, changes the result of the output of net into the form which the expert system can understand, gets the final result from the universal reasoning engine

    本文採用神經網路進行大部分的知識獲取及推理功能，將網路輸出結果轉換成專家系統推理機能接受的形式，由專家系統的推理機得到問題的最後結果。
  8. In this paper, the base principle and structure of kbs. ( knowledge base system ) is explained first, and then discuss bp neuralwork, rbf network on structure and atithmetic. in detail. the mixed diagnostic expert system bases on microsoft windows, microsoft vc + + 6. 0 is choosed as program development tool, microsoft sql server2000 is choosed as database development tool. it is composed of four parts

    本論文對混合型專家的理論和實現方法進行研究，詳細地討論了知識庫規則的構造、管理，對bp演算法、徑向基神經網路rbf演算法作了深入的探討和分析，並以船舶動力裝置故障診斷為對象實現混合型專家系統在其上的應用。
  9. Neural networks are applied to comprehensive evaluation of m3cep. the model of comprehensive evaluation based on combination networks is put forward which supplies gist for constructing the encyclopedical multi - expert system

    將人工神經網路用於多層次多目標復雜對象系統的綜合評價，提出了基於組合神經網路的綜合評價模式，為建造廣博的多專家系統提供了依據。
  10. 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。
  11. The first chapter surveys the state - of - the - art of intrusion detection and the related problems. the second chapter provides the details of intrusion detection techniques, in particularly, it introduces two concepts ( network - based ids ( nids ) and host - based ids ( hids ) ), and the distributed ids. besides, this chapter proposes three intrusion detection methods ( misuse detection, anomaly detection and integrality test ), and discusses the applications of the artificial neural network technology 、 expert system technology 、 and pattern reasoning technology in the ids

    第二章討論入侵檢測技術基礎，介紹了基於網路的入侵檢測系統（ ndis ）和基於主機的入侵檢測系統（ hdis ）的概念，對分散式入侵檢測系統也進行了相關介紹;討論了三種入侵檢測辦法，包括誤用檢測（ misusedetection ） 、異常檢測（ anomalydetection ）和完整性檢測，介紹了人工神經網路技術、專家系統技術以及模式推理技術在ids中的應用。
  12. Visual rice growth models ( vrgm ) and rice expert system of cultivation management for high yield were established by synthesizing the results of " national rice project " and combining the cultivation knowledge, experience of experts, while the techniques of artificial neural network and fuzzy logic were employed to improve the rice growth models and the expert system. the main results are as follows

    本研究系國家「九五」攻關項目「水稻大面積高產綜合配套技術研究與示範」課題的子專題，結合水稻高產栽培技術資料和水稻專家的知識、經驗以及科研成果，研製成了可視水稻生長模型（ visualricegrowthmodels ， vrgm ）及水稻高產栽培專家系統，並在此基礎上進一步利用人工神經網路模型、模糊邏輯技術和田間栽培試驗，對生長模型和專家系統進行了改進。
  13. Research of computer - interlocking control systematic fault diagnosis expert system based on neural network

    基於神經網路聯鎖系統故障診斷專家系統的研究
  14. 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
  15. 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。
  16. 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。
  17. The fault diagnosis software of power supply system applying the expert system theory is programmed under vb 6. 0. while the fault diagnosis of electric load manage center and solid state power controller is based on the neural network theory, whose software is realized through adopting the neural network toolbox of matlab 6. 1 in vb 6. 0

    對于飛機供電系統，在vb6 . 0中編寫了基於專家系統理論的故障診斷軟體；對于電氣負載管理中心和固態功率控制器，其故障診斷軟體則基於神經網路理論，通過在vb6 . 0中調用matlab6 . 1的神經網路工具箱完成。
  18. The paper focuses on the application of the theories of expert system and neural network in the fault diagnosis of electrical power system of more - electric - aircraft respectively. the design and realization of the more - electric - aircraft electrical power system fault diagnosis software are then introduced in detail

    本文著重討論了專家系統理論和人工神經網路理論在多電飛機電氣系統故障診斷中的應用，詳細介紹了多電飛機電氣系統故障診斷軟體的設計思想和實現方法。
  19. ( 5 ) user management system is built by asp technology on the server - side. user ' s register and logging is accepted and the user permission for different group is designed ( program files referred to appendix 1 ) ; the connection between web server and plastic die material database system realized by ado, odbc technology, which will guarantee the mutual information transportation between the database system and different terminals ; ( 6 ) further study of expert system is discussed and the implementing reasoning base on plastics mould material selection neural networks is put forward and key problems is also discussed. according to the requirements of sustainability, extended knowledge frame of mould selection and track algorithm meeting the requirements of dynamics, history, structuralism, illegibility, unintegrity and uncertainty are verified and corresponding examples are also put forward

    （ 3 ）通過ado 、 odbc技術實現web服務器與塑料模具材料數據庫系統的連接，從而保證了塑料模具材料數據庫系統和各終端之間信息的雙向傳遞； （ 4 ）在服務器端利用asp技術建立塑料模具材料遠程選擇優化專家系統交互界面，通過標準數據庫查詢語言，客戶能對數據庫中的塑料模具材料信息進行查詢（程序文件列表參見附錄1 ） ；廣東丁業人學1學m學位淪義門）在服務器端利用sp技術建立用戶管理系統，接受用戶的注冊、登錄消求，為不同等級的用戶設定相應的權限（程序文件列表參見附錄1 ） ； （ 6 ）討論了進一步完善該專家系統所需做的工作，提出塑料模具選材神經網路批理的實現方案，並對其中的關鍵問題進行了討論：按照可持續發展的要求，對擴展的模具選材知識框架、滿足動忐性、歷史性、結構性、模糊性、個大根性、不硯定性等需求的跟蹤演算法進行了論證並給出計算示例。
  20. Application of blur neural and expert system in the state of real - time monitor and fault diagnosis of blower

    模糊神經專家系統在風機實時狀態監測與故障診斷中的應用
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