電子神經網路 的英文怎麼說

中文拼音 [diànzishénjīngwǎnglù]
電子神經網路 英文
electronic neuron network
  • 電 : Ⅰ名詞1 （有電荷存在和電荷變化的現象） electricity 2 （電報） telegram; cable Ⅱ動詞1 （觸電） give...
  • 子 : 子Ⅰ名詞1 （兒子） son 2 （人的通稱） person 3 （古代特指有學問的男人） ancient title of respect f...
  • 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
  • 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...
  • 電子 : [物理學] [電學] electron
  • 神經 : nerve; nervus
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. But its accuracy of detecting is low in application. in this paper we try to find a method based on artificial neural network to improve the accuracy of detecting faulty insulators

    本文力圖通過大量的實驗室和現場數據的分析，發展一種基於人工神經網路的不良絕緣子診斷方法，提高脈沖電流法用於檢測不良絕緣子的準確性。
  2. Based on the analysis of the magnetic characteristics, an artificial nerural network can be built and the fault samples can be gained by theoretical arithmetic. the results of computation example show that the method can not only judge if shorted field turns exit but also estimate fault turns ratio

    根據該結論構建了發電機故障診斷的神經網路，並直接獲得發電機在額定運行工況下對應的故障樣本，用於故障診斷，不僅對轉子繞組匝間短路故障的存在性，還對故障的嚴重性做出了正確的判斷。
  3. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  4. It has been used in many fields such as machinery industry, electronic industry, power industry, hydraulic engineering, chemical industry, agriculture, environment, economy and so on. this paper focuses on application of anns in the study of the karst basin and its low flow

    人工神經網路是一門正在迅速發展的交叉科學，現已廣泛應用於機械工業、電子工業、能源工業、水利工程、化學工業、農業、環境和經濟學等學科。本文主要討論人工神經網路在喀斯特流域及其枯水徑流研究中的應用。
  5. Non - linear dynamical systems and chaotic phenomena. random processes and diffusion. ising model and lattice gas. quantum systems and electronic structures. percolation, fractal and self - similarity. neural network and genetic algorithm

    非線性動力系統與混沌現象、隨機過程和擴散現象、易幸模型與格子氣體的統計模擬、量子系統與電子結構、展透、碎形與自我類似、類神經網路與基因演演算法。
  6. The transient simulation of stator winding inter - turn short circuit fault has been completed successfully based on the multi - loop mathematical model

    基於神經網路技術，提出了以定子負序導納平均值作為故障特徵量的異步電動機定子繞組匝間短路故障檢測方法。
  7. In the paper, a speed estimator based on artificial neural network is designed according to the principle of direct torque control, the speed estimator is optimized by genetic algorithm, and the parameters of pid speed adjuster is also optimized by genetic algorithm. a stator linkage and torque observer based on stator resistance estimator using fuzzy neural network is also designed. eventually, the intelligent control of direct torque control system is implemented

    本文根據異步電動機直接轉矩控制原理，在應用人工神經網路進行速度辨識的基礎上，利用遺傳演算法對神經網路速度辨識器進行了優化設計；運用遺傳演算法對pid速度調節器的結構和參數進行了整合；在採用模糊神經網路對電機定子電阻辨識的基礎上，進行了定子磁鏈及轉矩的觀測，為最終實現無速度傳感器直接轉矩控制系統的智能控制創造了條件。
  8. 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。
  9. The structure and characteristic of electronic throttle is introduced and a fuzzy neural network control algorithm based on gauss function is presented

    本文介紹了電子節氣門的結構和特點，提出了基於模糊高斯函數神經網路的電子節氣門控制方法。
  10. Recent years, with the development of microelectronics, computer technology, automation technology and opto - electronic technology, with the deepening and utilitarian of artificial intelligence and neural network theories, automatic strip surface inspection trends to intelligent, high precision, high reliability and high - speed on - line detection

    近年來，微電子技術、計算機技術、自動化技術和光電子技術的飛速發展，人工智慧、神經網路理論的深化及實用化，使帶鋼表面檢測向智能化、高精度、高可靠度、高速在線檢測的方向發展。
  11. In this years, micro - electronics technology, computer technology, automation technology and photo - electronics technology develop rapidly, and artificial intelligence and theory of nerve network have deepen and applied, which make inspecting disguise of zonal steel surface more and more intellectual, high precision, high credibility, high velocity

    近年來，微電子技術、計算機技術、自動化技術和光電子技術的飛速發展，人工智慧、神經網路理論的深化及實用化，使帶鋼表面檢測向智能化、高精度、高可靠度、高速在線檢測的方向發展。
  12. Lui, h. c., c. m. lee, and f. gao, neural networks application to container number recognition proc. ieee 14th annual international computer software applications conference compsac 90, chicago, illinois, november, 1990, pp. 190 - 195

    1990年11月， lui ， h . c . ，李春茂博士， f . gao .三人在美國伊利諾斯州芝加哥舉行的國際電子電氣工程師學會第14屆電腦軟體及應用年會compsac 90上，發表了神經網路在集裝箱號碼識別中的應用的主題文章。
  13. Modeling and control of elman neural network for pemfc

    質子交換膜燃料電池的神經網路建模與控制
  14. On the basis of summarizing the common principle and method of selection of system structure and setting function and means of implementation, we research mainly on such subjects as follows : firstly, we studied the implementation of text extraction and digital signature by cad secondary development technology combine with database technique. secondly, based on method for pre - processing scanning images of drawings, finally, the application of artificial neural network in engineering drawing sign character recognition was researched. in this thesis, we presented the building model and implementation method has some references to the designing work of similar system

    在論述系統結構選取、功能構建以及實現技術的一般原理和方法的基礎上，進行了以下幾個方面的研究：首先研究了cad二次開發技術同數據庫技術相結合實現系統圖紙文本信息西安理工大學碩士學位論文提取和電子會簽功能，然後研究了掃描圖紙的圖像處理技術，為圖紙的矢量化和智能識別提供圖形表達準確、圖形要素和字元要素分離的數據源，最後研究了人} _神經網路技術在} _程圖紙標識字元識別中的應用。
  15. 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。
  16. In this thesis, the fundamental principle and system constituent of the electronic olfactory system are analyzed and studied ; a set of detection system of gas mixture, combined gas sensor array with artificial neural network pattern recognition technology, is designed and constructed. employing this system, the processing ability and identification results of several preprocessing algorithms and artificial neural network models are compared and analyzed. and finally the following conclusions are arrived : 1 ) gas sensor array coupled with pattern recognition technology has the good ability to identify the gas species and quantify its concentration

    本文分析研究了電子嗅覺系統的基本原理和系統組成，設計構建了一套氣體傳感器陣列和人工神經網路模式識別技術相結合的混合氣體檢測系統，並利用這套系統對目前在電子嗅覺系統中使用較廣泛的幾種信號預處理演算法和人工神經網路模型的處理能力和辨識效果進行了分析和比較，最後得出了以下結論： 1 ）氣體傳感器陣列與模式識別技術相結合能夠很好地分析和辨識混合氣體組份及其濃度。
  17. In this paper the predictive system of field current is studied using takagi - sugeno fuzzy system. the input parameters are drawn from the turbo - generator ' s stator

    因此，本文利用基於神經網路集成的高木一關野模糊系統來建立發電機正常運行時轉子電流的預測模型。
  18. His interests include web services and service oriented architectures, xml, high - performance business systems, distributed architectures, and artificial intelligence

    他的興趣包括用於電子商務集成的高性能系統智能分散式體系結構神經網路和人工智慧。
  19. The operation reliability of the power transformer as the key equipment in electrical power systems, influences operation security of electrical power systems directly. the components and contents of gases dissolved in transformer oil can be used to reflects internal insulation faults of operating transformer. in order to overcome the errors caused by complex handling procedure and man - made factors using general chromatogram analysis method, author brings forward an on - line detecting of gases dissolved in transformer oil by using macromolecule polymer to separate oil and gases automatically and an information fusion technology of multi - sensors ; at the same time, in order to improve the accuracy and reliability, author uses neural networks to diagnose transformer faults

    變壓器作為電力系統的樞紐設備，其運行可靠性直接影響電力系統的安全運行；變壓器油中溶解氣體的成分和含量能有效體現運行變壓器內部的絕緣故障情況，為解決常規色譜分析中復雜的操作程序和由於人為因素引起的較大的誤差，論文提出了應用高分子聚合膜實現變壓器油氣自動分離、多傳感信息融合技術智能檢測多種氣體成分的變壓器油中溶解氣體在線監測技術，應用神經網路智能診斷方法實施故障診斷，提高變壓器故障診斷的準確性和可靠性。
  20. The deduction method of srm ' s rotor position based on artificial neural network ( ann ) is studied in this paper. an ann rotor position ( i, l ) model of srm is built with modified bp neural network

    本文研究了基於人工神經網路的sr電機轉子位置推斷，採用改進的bp演算法建立了sr電機神經網路轉子位置（ i ， l ）模型。
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