神經邏輯網路 的英文怎麼說

中文拼音 [shénjīngluówǎnglù]
神經邏輯網路 英文
nln neural logic network
  • 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
  • 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...
  • 神經 : nerve; nervus
  • 邏輯 : logic
  • 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. 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. Through the simulation of large - scale circuit simulation proved that use the crossover tearing technology could detailed network structure, simplify the diagnostic process, and the neural network can parallel deal with the diagnosis information, and the logic operation can judge the information of the multi - fault. the illustrative simulation shows that it can increase the diagnosis speed and decrease the workload before test

    通過對大規模模擬電路的模擬證明，使用交叉撕裂明細網路結構，簡化診斷過程，且運用神經網路組對信息進行并行處理，邏輯分析運算對多故障信息進行處理判斷，大大提高了故障診斷速度，減小了測前工作量。
  4. The detailed works are as follows : the finding patterns problems in the time - series data sequence are described, and a new trend logic expression method is introduced, and its algorithm and experiment result of algorithm are given ; time - scries data are disposed, and using the arctg. slope of line as the sample of pattern recognition, so ignoring the aberrance of pattern in the classified. in addition, a new time - series pattern finding algorithm based on higher - order neural network is put forward

    同時給出了本文的具體的工作，主要是：對在時序數據序列中發現模式問題進行了描述，並介紹了一種新的趨勢邏輯表示方法，給出了其演算法及演算法的實驗結果；對時序數據進行處理，提出了利用線段的斜率反正切值作為模式識別的樣本，從而在分類時忽略模式的畸變；另外，還提出了一個新的基於高階神經網路的時序模式發現演算法。
  5. On the basis of that, the method of acquiring characteristics by infrared plane detection is given, according to the characteristics gained and the pattern recognition, a fuzzy - neural vehicle classifier based on the vehicle ' s length height and axles is carried out

    採用二維紅外檢測技術獲取車輛外形幾何參數的方法，運用模式識別的理論，結合模糊邏輯和神經網路兩者的優點，進行車型自動分類器設計。
  6. 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。
  7. 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。
  8. 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。
  9. Finally this paper propose the structure diagram of adaptive distance protection based on neural network impedance relay, which describes entire logic procedure from data acquisition unit to trip unit

    最後提出基於神經網路阻抗繼電器的自適應距離保護結構框圖，描述從信號採集單元到動作出口單元的整個邏輯過程，並對自適應距離保護的前景作出展望。
  10. 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。
  11. 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。
  12. 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。
  13. Abstract : fuzzy logic technology is combined with neural network, it will expand their application scope

    文摘:模糊邏輯控制技術和神經網路有機的結合，拓寬了模糊邏輯方法和神經網路方法的適用領域。
  14. A novel quantum neural computational model is constructed based on the universal quantum gates unit ( i. e. phase - shift gate and controlled not gate ), which acts as the basic computational component

    研究以通用量子邏輯門組（即相移門和受控非門）作為計算基函數，構造新的量子神經計算網路模型。
  15. First, it applies fuzzy logical in the abstract and non - linear dealing ability ; second, it applies neural net in the self - study and any functions approaching ability ? through combining above two ability, it can find a best p i d non - linear controlling regularity and achieve controlling on line of the unknown subject etco therefore, it not only can strengthen robust and intelligence of the system, but also make design simple and easily be requiredo in addition, the thesis also does many works on procedure of upper - computer and basic - controller and the whole system designed can be put into work immediately

    根據啤酒發酵過程具有大慣性、時滯和非線性等特點，本論文還提出一種基於神經網路的模糊自適應pid控制方案，它一方面利用模糊邏輯的「概念」抽象能力和非線性處理能力，另一方面利用神經網路的自學習能力和任意函數的逼近能力，通過兩者的有機結合尋找一個最佳的p 、 i 、 d非線性組合控制規律，以實現對未知對象進行在線控制，並具備適應控制環境變化的能力和自學習能力等。
  16. Thirdly, the paper researchs the application of single electron transistor and the synthesis theory of cicuit based on quantum dot cellular automata by synthesis example of quantum cellular neural network based on build schr ? dinger equation of coupling quantum dot. at last, the paper researchs digital integrated circuit design based on quantum dot cellular automata and design a 8 - bit quantum dot cellular adder by qcadsign based on a method of majority logic reducetion for quantum cellular automata, it prove this designer of 8 - bit quantum dot cellular adder is correctly

    Dinger ）方程為基礎的量子點細胞自動機電路綜合理論，本文以量子細胞神經網路為綜合實例，建立耦合量子點的薛定鄂（ schr ? dinger ）方程組，通過化簡得到類似細胞神經網路的非線性電路方程。最後研究了基於量子點細胞自動機數字集成電路設計，通過建立邏輯方程，簡化邏輯方程，並設計基於精簡qca擇多邏輯門8位加法器，並用qcadesign進行了模擬，實驗證明設計正確性。
  17. 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。
  18. 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。
  19. 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。
  20. This study employed six data mining methods, including logistic regression, discriminant analysis, artificial neural networks, k - nearest - neighbors, na ? ve bayes classifier, and classification trees, to find the most important factors of earthquake - caused landslide

    本研究利用六種資料探勘方法，包括邏輯回歸、判別分析、類神經網路、最近鄰法、貝氏分類器、分類樹，探討影響地震引起山崩的重要因子。
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