模糊專家網路 的英文怎麼說

中文拼音 [móhúzhuānjiāwǎnglù]
模糊專家網路 英文
fuzzy expert network
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 糊 : 糊名詞（樣子像粥的食物） paste
  • 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...
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. 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。
  2. Firstly, the three main harmful factors " characters and rules, theirs effect on civil house, demolishment criterion and control measure will be researched systemically. secondly, fuzzy mathematics, system arrangement analytical method and expert consultation method are put forward and discussed specially to set up civil house security fuzzy multi - arrangement elevation model, to evaluate blasting harmful factors " effect to neighborhood civil house ' s safety in the construction of express way, to predict the security of civil house and to bring forward control measures. lately, the forecast of the civil houses " safety by using bp neural net model and optimize of the blasting parameters will also be discussed in the dissertation

    本文的主要研究工作有：系統地研究了爆破地震、爆破飛石、爆破空氣沖擊波三大有害因素的特徵及規律、對民房的影響、破壞判據和控制措施；提出並重點論述採用模糊數學和系統層次分析法及專家咨詢法建立民房安全性模糊多層次評價模型，對高速公路建設中爆破有害因素對鄰近民房安全進行評價，預測民房安全性，提出控制措施；利用bp神經網路模型對民房安全進行預測，並對爆破參數進行優化。
  3. By the browser / web server / database structure and the technology of asp. net and xml, we achieve the expert system running on the network, extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system, extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets, analyze the generalized possibility interval sets, and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining, researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine, make the upgrade simple and maintenance convenient. in the last, we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e

    Net和xml技術，實現了網路化的專家系統，同時擴大了專家系統的應用范圍，提高了系統的後向兼容性；對專家系統中的知識表示技術作了深入探討，在傳統的基於規則的知識表示方法的基礎上，提出了基於規則擴展的知識表示方法，並較好地將其應用到本系統中；引入了模糊集合，分析並推導了廣義可能區間集，將其應用於模糊知識的表示，將語言變量和模糊集合結合起來；提出對系統採用互動式知識獲取途徑、雙向推理控制策略，對不精確推理和不確定性推理的傳播演算法作了一定的研究，成功地將其應用到馬鈴薯專家系統的構建之中；採用知識庫和推理機相分離的方法，使得系統升級簡單易行。
  4. The environment system where fuzzy comprehensive evaluation model and reasoning method, neural networks comprehensive evaluation model, interrelated data and information, knowledge and experience of evaluation expert group, computer and all kinds of advanced technique are integrated is studied in detail

    深入研究了將模糊綜合評價模型與推理方法和神經網路綜合評價模型、各類有關的數據和信息、評價專家群體的知識和經驗、計算機及各種先進技術綜合集成的環境系統。
  5. 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。
  6. Site experiment were carried out on the testing vehicle for ahs and the magnetic markers road in national intelligent transport system center. also, study on multi - sensor information fusion and control model by using neural net system, fuzzy logic and genetic algorithm were carried out. the work completed are as follows mainly : ( 1 ) hardware system for lane keeping system including magnetic marker, magnetic sensor, control system and executor machine were designed

    本文以國家智能運輸系統研究中心的自動公路系統試驗車和專用的磁軌釘道路為工作平臺，在大量的現場實驗基礎上，針對基於磁軌釘導航的車輛車道保持技術中的若干問題展開研究，運用神經網路、模糊邏輯、遺傳演算法等方法在多傳感器信息融合、控制模型等方面進行了系統的研究，主要完成了以下幾方面的工作： （ 1 ）對車道保持系統硬體平臺進行了設計，論述了導航設施? ?磁軌釘的設計過程和車載工控機、步進電機等的選擇。
  7. Point to above problems, under the financial support of the national natural science foundation ( exploration of high tech and new concept and new conceive ), the excellent young teachers program of ministry of education and national excellent doctoral dissertation special foundation, the static and dynamic real - time computation of elasticity - plastic mechanics, solving method of fuzzy finite element and other problems were studied in this paper. and some achievement was gained as following : ( 1 ) based on the positive definiteness of system stiffness matrix of finite element that was modified and the form of potential energy function of elastic body, the linear system of saturation mode ( lssm ) was introduced into the neural computation of finite element, by which the no - error solving of finite element neural net computation was realized in theory

    針對上述問題，在國家自然科學基金（高技術新概念新構思探索） 、教育部優秀青年教師資助計劃、高等學校全國100篇優秀博士學位論文作者專項基金等的資助下，本文對彈塑性力學問題的動靜態的實時計算、模糊有限元的求解方法等問題進行了系統和深入的研究，取得了以下成果： （ 1 ）根據有限元總剛矩陣經修正後具有正定性的特點以及彈性體勢能函數的具體形式，將飽和模式的線性系統（簡稱為lssm系統）引入到有限元的神經網路計算中，在理論上實現了有限元神經網路計算的無誤差求解。
  8. 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。
  9. Reviews and analyses have been done aiming at the three main branches of intelligent control of fuzzy logic control, neural neuwork control and expert control system

    對智能控制的3大主要分支模糊邏輯控制、神經網路控制及專家控制系統在污水生物處理中應用的最新動態進行了評論和分析。
  10. ( 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。
  11. Specialist system faces many problems and difficulties, such as knowledge acquirement depends on manual transplantation which leads to high cost and low efficiency ; applying general clarified set brings forward with feeble reasoning ability, matching collision and combination explosion. nowadays modern intelligent control focuses on fuzzy logic and neural networks or the combination of the two

    由於專家系統在實際應用中有較多的問題和困難（如：知識的獲取主要靠人工移植，因此成本高、效率低；採用常規的分明集，致使它的推理能力弱，容易產生匹配沖突、組合爆炸等問題） ，現在智能控制的重點則集中在模糊邏輯、神經網路以及二者的結合應用上。
  12. Then, a practical approach of software quality evaluation based on this model is given out which uses the network method of nerve and combines the associative memory model with the expert judge and fuzzy appraisal according to the gradient theory. and a program of this approach is compiled using c #. net

    然後，根據梯度理論，應用神經網路方法將聯想記憶模型與專家評判、模糊評價相結合，給出一個基於此模型的軟體質量評價的實用方法，並用c # . net對此評價方法編程實現，最後通過實例來說明此方法。
  13. Fourth, after the characters of neural network, fuzzy technology and expert system were analyzed three models about combining expert system and neural network and their respective applied condition have been proposed. the methods of using fuzzy knowledge in expert system and combining neural network and fuzzy logic have also been discussed

    第四，在對專家系統、神經網路和模糊技術各自的特點進行深入地分析之後，本論文提出了將專家系統和神經網路相結合的三種模型，分析了各模型所適用的環境，並討論了對符號專家系統進行模糊化改造以及模糊邏輯同神經網路相結合的方法。
  14. On the basis of existing research, the paper integrates fuzzy neural network technology with diagnosis expert system based on case - reasoning and rule - reasoning

    本文在已有研究基礎上，將模糊神經網路技術集成到基於實例推理和規則推理的診斷專家系統中。
  15. Also, the experiments show that when the hme, which is a mixture of the fuzzy network and the expert system based on knowledge, is used to diagnose the fault of the boiler, some points can be attained : both symbol reasoning and nerve network reasoning can be combined very well

    同時，實驗結果還表明將模糊網路技術與基於知識的專家系統技術結合的分層混合專家網路應用於鍋爐故障診斷，能實現符號推理與神經網路推理的有機結合，層次清晰、推理效率較高。
  16. In connection with the diagnoses problem of 670t / h boiler for chongqing power plant, the hierarchical mixture expert ( hme ) network is developed in this paper. the hme module is employed and the new samples are added and the database for fault diagnosis, fault treatment and interpretation subsystem are broadened to further develop the diagnosis system

    本文針對重慶發電廠670t / h鍋爐故障診斷問題，在原有的研究基礎上採用分層混合專家網路，對其故障診斷系統做了進一步的開發研究工作，增添了分層模糊神經網路模塊與新樣本，拓展了鍋爐故障診斷數據庫及故障診斷處理和解釋子系統。
  17. 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。
  18. In order to solve the problem how to get expert knowledge and how to detect fault, a new settlement is presented in this paper, which is based on simulation. in the beginning of this paper, the writer introduces some conception of conventional expert systems, and analyzes its localization or disadvantage. according to the special of electronic devices, artificial intelligent fault detecting system of a certain radar based on simulation is put forward ; the paper gives the detail of the top bottom design for an example, and gives the solution for remote diagnosing in internet

    本文主要試圖解決這么幾個問題：面向故障診斷進行模擬建模；對模擬模型進行故障注入，獲取故障模式，從而獲取系統全面的專家知識；採用模糊神經網路對這些知識進行規約和抽象；採用模糊聚類演算法對專家知識進行診斷現場的融合；採用虛擬儀表獲取信號數據，運用小波變換等提取故障徵兆，實現故障的診斷和預測；基於模擬模型構建嵌套推理演算法，實現模擬故障排除訓練和考核，分析崗位人員對原理的掌握情況。
  19. The simulation results indicate that the parallel robot control can achieve much better effect than the traditional method by means of fuzzy control only if the abundant control experience and correct inference rules are available. as the simulation result showing, the anfis achieves the same satisfying effect with successful fuzzy control without requiring any control experience. the anfis can adjust the parameters of fuzzy inference system automatically and eliminate the influence of interfere signal on the base of adequate training samples

    在缺乏實驗條件的情況下，通過對不同控制策略的模擬比較研究，說明了在具備系統的先驗知識和成熟的模糊規則的基礎上，對並聯機器人採取模糊控制能取得比採取傳統控制要好得多的效果，而anfis則能在毫無經驗的情況下，通過自動調整隸屬函數參數，自動建立符合系統變量特徵的控制模型和模糊推理規則，並能夠排除噪聲等干擾信號的影響，取得了與依賴專家知識進行控制一樣的效果，這也是模糊神經網路控制的優勢所在。
  20. Secondly, the combination of fuzzy logic, neural network and expert system technology etc. has been in progress research, the structure and realization of the fuzzy expert system based on fuzzy bp neural network have been presented, carrying on the comparison and analysis with the traditional expert system

    其次，對模糊邏輯、神經網路和專家系統等技術的結合進行了研究，給出基於模糊bp神經網路的模糊專家系統結構，並對其實現進行理論方面的研究，同時將它與傳統專家系統進行比較分析。
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