神經邏輯系統 的英文怎麼說

中文拼音 [shénjīngluóxìtǒng]
神經邏輯系統 英文
neural logic 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
  • 邏 : Ⅰ動1. （巡察） patrol 2. [書面語] （遮攔） blockⅡ名詞1. （巡察） patrol 2. [書面語] （山溪的邊緣） edge
  • 輯 : Ⅰ動詞（編輯; 輯錄） collect; compile; edit Ⅱ名詞（整套書籍、資料的各個部分） part; volume; division
  • 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
  • 邏輯 : logic
  • 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 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. Marine diesel union fuzzy neural network model can not only reflect the fuzzy character and logicality of main engine, but also avoid the joints between irrelevant parameters, simplify the network structure, and decrease the calculation. 2

    船舶柴油機組合模糊神經網路模型可以反映主機系統的模糊特性和邏輯特性，簡化了網路結構，避免了無關性能參數之間的連接，減少了計算量； 2
  3. In this thesis, reasning based medel and resolution principle are deeply studied, and using netal network partly driplement automated reasoning

    本文在對命題邏輯系統的模型推理和歸結原理研究的基礎上，嘗試利用神經網路部分實現自動推理。
  4. It can be extended to fuzzy logic systems and some lattice - valued logic systems. 3. the study on automated reasoning a new automated reasoning method based on path searching was proposed

    2 、提出一種利用神經邏輯單元動態地構造神經網路的演算法來對一些邏輯系統中的邏輯公式的真值進行計算。
  5. The other is an improved fuzzy neural network that is joined a compensative operation layer and adopts the improved center - or - gravity defuzzication in feedforward fuzzy neural network based on gaussian fuzzy logical system

    其二是改進的補償模糊神經網路。該網路在基於高斯模糊邏輯系統的前饋模糊神經網路中加入了補償運算層和採用了改進型中心反模糊化器。
  6. On the basis of introducing the theory of fuzzy control ( fc ) and neural network ( nn ) as a whole, this paper presented a new mixed control method, which was called as neural network - fuzzy control. ( nn - fc ). the nn - fc method combined the strong self - study ability of neural network and powerful experience - expressing ability of fuzzy control to meet the need of real - time control

    在系統地介紹智能控制理論中的模糊控制和神經網路控制理論之後，引入了模糊控制和神經網路控制相結合的產物? ?神經模糊控制，將模糊邏輯推理的強大結構性知識表達能力與神經網路的強大自學習能力集於一體，彌補了模糊控制需要系統先驗知識且缺乏自學習功能的不足。
  7. 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。
  8. 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。
  9. 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。
  10. 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。
  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. 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。
  13. Then the tendency and the hot aspect of research have been discussed. along with the further development of intelligent robotic technology and artificial intelligence theory, multi - agent welding system / pc controller and composite technique of the syncretism of fuzzy and nn should become the hot aspect of research

    論述了焊接機器人技術發展的趨勢及研究的熱點問題，即隨著智能機器人技術和人工智慧理論的進一步發展，多智能體焊接系統、焊接機器人中基於pc的控制器和模糊邏輯與神經網路的融合技術將成為研究的熱點問題。
  14. Due to the fact that the structure of internal combustion engine is complex, fault diagnosis cannot be made in a single way and human intelligence diagnosis technique making use of information interinfiltrate and neural network and fuzzy logic and expert system must be adopted in order to obtain high accuracy and real time

    由於內燃機結構較為復雜，因此只用單一方法對它進行診斷是不夠的，必須藉助于信息融合、神經網路、模糊邏輯以及專家系統等人工智慧技術的計算機診斷方法，才能達到較高的準確性及實時性。
  15. Aiming at crack problems in important hydraulic concrete structures, the cause, evolution rule and abnormality diagnosis of the crack are studied in this dissertation by using advanced theories and mathematics and mechanics, such as rough set theory, data mining, neural network, wavelet analysis, chaos theory, and so on, combining with prototype observation data. the main contents are as follows. ( 1 ) mining of cause of crack is proposed by using logic diagnosis, rough set theory, and data mining technique

    本文針對重大水工混凝土結構運行期的裂縫問題，應用粗集理論、數據挖掘、神經網路、小波分析、混沌理論、突變理論等前沿數學方法及斷裂力學等力學方法，以及數值模擬等數值模擬方法和邏輯診斷方法，結合實測資料，對運行期裂縫的成因、演變規律以及轉異診斷等方面進行了系統的研究。
  16. The paper analyses its key circuit and software program structure. this full - digital controller is made up of dsp and implements single neuron adaptive pid computation, current pi computation, logical determination, pulse - fire and procession of protective signal etc. it also improves the reliability and availability of this control system

    本課題對控制器主要的電路結構及程序結構進行了分析，以dsp為核心組成的全數字式控制器完成了電流pi演算法計算，單神經元自適應pid演算法計算、邏輯判斷、脈沖觸發以及系統保護信號的處理等，提高了控制器的可靠性和可操作性。
  17. Intelligent control techniques such as : the control based on neural network ( nn ), fuzzy control etc. are used widely in the control of machine tool, robot, instrument

    智能控制技術主要包括：專家系統、神經網路控制、自適應控制、模糊邏輯控制等，它在機器人、機床控制以及儀器儀表等方面被廣泛的應用。
  18. Professor austrom points out that fuzzy logic control, neural networks and specialist system are three typical intelligent control methods

    控制學術權威austrom指出：模糊邏輯控制、神經網路和專家系統是三種典型的智能控制方法。
  19. 2. numerais system of propositional calculus nend netwrk deals with data, but it is a formula set in proposihonal calculus

    命題邏輯系統的數字化神經網路的處理對象是數據，而命題邏輯系統的處理對象是命題公式集。
  20. Fuzzy neural network ( fnn ) is an active branch in the intelligent control. it is composed of the neural network and fuzzy logic system organically. and it is good at self - learning and self - tuning

    模糊神經網路是將人工神經網路與模糊邏輯系統相結合的一種能處理抽象信息的網路，具有強大的自學習和自整定功能，是智能控制理論研究領域中一個十分活躍的分支，因此模糊神經網路控制的研究具有重要的意義。
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