神經分析器 的英文怎麼說

中文拼音 [shénjīngfēnxīqì]
神經分析器 英文
neural analyzer
  • 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
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 神經 : nerve; nervus
  1. This paper try to combine fuzzy theory with the sphere neighborhood model, and then put forward a fuzzy algorithm based on csn ( covered with sphere neighborhood ). the performance of sphere neighborhood model is discussed and get deeply into in this paper

    本文嘗試將模糊數學與球面領域覆蓋思想相結合，提出模糊球面領域覆蓋演算法來構造神經網路分類器，並對球面領域覆蓋思想作深入的研究分析。
  2. Based on analyzing the multilayer perceptron neural network, it induces the error backpropagation algorithm while taking the hyperboloid tangential function as nonlinear activation function

    在分析多層感知器神經網路的基礎上，推導了雙曲正切函數為激勵函數的誤差後向傳播演算法。
  3. Furthermore, in order to supplement multi - object tt & c capability of new generation space tt & c system, gmsk modulation is recommended by ccsds because of its preferable frequency speciality and miscode performance. the thesis analyzed characteristic and demodulation realized of gmsk signal. attempting to design a universal multi - mode demodulator of bpsk, qpsk and gmsk, the thesis studied

    本文分析了gmsk信號的特點及解調實現，試圖設計一種bpsk 、 qpsk 、 gmsk通用的多模式解調器，因而研究了調制識別技術，分析了以決策論為基礎的三種信號的調制識別方法，並提出了基於人工神經網路的調制識別方法。
  4. Theoretical analysis on classification capability of classifier containing quadratic sigmoid neurons

    神經元構建的分類器分類能力的理論分析
  5. This article summarizes the investigation on infrasound at home and abroad and introduces such issues about infrasound as the effects of infrasound on cardio - vascular system, nervous system, audition and vision, its application to medical device as well as its safe - threshold

    摘要次聲是不可聽聲，綜合國內外的研究，介紹了次聲對動物心血管系統、神經系統、聽覺、視覺等的影響，及其在醫療器械中的應用，分析了次聲的閾值問題。
  6. Utilize bp neural network set up arm shelf structure design parameter shine upon the relation with nonlinearity of natural frequency, namely has set up the structure analysor based on bp network

    利用bp神經網路建立起臂架結構設計參數與固有頻率的非線性映射關系，即建立了基於bp網路的結構分析器。
  7. In this paper, on the basis of absorption of achievements of the research on auditory physiology, an auditory model simulationg the peripheral auditory system and part of the central auditory system is set up. the model is made of the fitlters presenting the characteristics of the basilar membrane for analyzing the voice signals, the half wave rectification modeling the inner hair cells and energy transfer of nerve fiber

    在吸收聽覺生理學研究成果基礎上，建立了一個模擬外圍聽覺系統和部分中樞聖經系統功能的聽覺模型。模型由表徵基底膜的頻率分析的帶通濾波器組、內毛細胞的半波整流特性和神經纖維的能量轉換特性組成，該模型可以作為前端處理來提取語音信號的自相關圖譜。
  8. This thesis introduces the working principle, craftwork requirement, modeling process, control strategies and the realization of lf refining furnance bottom blowing argon control system. through the study and analysis of bottom blowing argon process control system, the thesis discusses the mean neural network model of controlled object and the mathematical models of the exectors, pwm adjustable pressure controller and pcm adjustable flux controller according to the relevant liquid knowledge and relevant data, including design data, test data and running data. to begin with the craftwork reguirement of bottom blowing argon and the actual instance of the control system, it presents the strategies of fuzzy parameters self - adaptive pid control used in pressure difference inner loop and fuzzy plus pi compound control used in flux outer loop which are based on the above modeling in order to carry out the accurate control of argon flux

    本文介紹了lf精煉爐底吹氬過程式控制制系統的工作原理、工藝要求、建模過程、控制策略以及控制系統的實現。通過對精煉爐底吹氬過程式控制制系統進行研究與分析，並根據流體力學的有關知識以及有關數據（其中包括設計數據、試驗數據和運行數據） ，建立起了被控對象的平均神經網路模型和執行機構（即pwm調壓器和pcm調流器）的數學模型。在此模型的基礎上，從底吹氬工藝要求和控制系統的實際情況出發，提出了壓差內環模糊參數自適應pid控制策略和流量外環模糊pi復合控制策略，以實現氬氣流量的精確控制。
  9. Analyze and compare pid and vague, single neuron etc. control strategy, and combine with single neuron self adaptive gain, self adaptive right value and preventive integral saturation etc. control strategy. have improved single neuron control algorithm, may restrain efficiently to disturb, reduce broken arc and short circuit etc. phenomenon, make systematic control effect and robustness get to strengthen, also have certain application reference value for the design of the dc arc furnace

    通過對pid 、模糊、單神經元等控制策略的分析比較，將單神經元增益與權值的自適應調節、抗積分飽和等控制策略相結合，改進了單神經元控制器演算法，可以有效抑制擾動，減少斷弧、短路等現象的發生，使系統的控制效果和魯棒性都得到增強，對電弧爐控制系統的設計也具有一定的應用參考價值。
  10. The error of hall element is analysed and the compensative method is provided ; this paper makes the theoretical analysis of errors producing by the instrument amplifier and a / d converter. we adopt the technology of digital filter and linearization implementing by the neural network method

    對霍爾元件的誤差進行分析並給出補償方法；對儀表放大器和a d轉換器引起的誤差進行了理論分析；採用了數字濾波技術和採用神經網路方法實現的非線性校正技術進行軟體補償。
  11. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一，它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法（ bp演算法） ，特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次，應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器，作為引入神經網路控制的設計基礎，並建立了系統的模擬模型。
  12. The evaluation of contactor performances according as dynamic characteristic curves is put forward the first time. fuzzy logic and neural network are introduced to establish a model for the contactor performances intelligent evaluation system. the model mentioned above can give a performance evaluation result in the meanwhile of the contractor dynamic process testing

    首次提出以動態特性曲線參數作為接觸器性能評判的依據，並構造了基於模糊聚類分析和神經網路演算法的接觸器動態特性性能評判模型，在實現對接觸器動態過程測試的同時，給出接觸器動態特性性能評判結果。
  13. Aiming at the study actuality of fan performance monitoring system and analysis of fan performance curve changes affected by inlet - box and the different fixed - angles of guide blades in the course of installation, a fan flow monitoring model based on rbfnn in whole flow zone was established in this thesis. in the model, the method of no throttle and fan performance curve were used as basis. and on the basis of that model, fan performance curves of 4 - 73no. 8d were approached with experimental data of different speed, different opening - angles of guide blade and different resistance of pipeline, the precision and the error law of model were studied

    本文針對電站風機性能監測系統研究較少的現狀，在實驗的基礎上分析了現場加裝進氣箱和由於安裝造成的導流器葉片開度不一致對風機性能曲線的影響，並在此基礎上採用無節流方法測量流量，以風機調節性能曲線為依據，建立了基於徑向基函數（ rbf ）神經網路的風機流量全程監測模型；以實驗室4 - 73no . 8d離心風機為研究對象，探討了rbf神經網路差壓模型在變轉速、變導流器開度和變管網阻力等工況下的應用精度和誤差分佈規律；最後用visualc + +語言開發了風機性能在線監測系統。
  14. Adding momentum item while correcting weight and limiting range of input value reduce error and improve diagnosis correctness greatly. while normalizing the input value, a new way is put forward that normalization is performed item by item according to its sort. in this way error training can avoid going into the flat field that is caused by existing of 0 or 1 of the input value

    本文首先分析了故障診斷和神經網路的基本理論，並在此基礎上提出了神經網路對于變壓器故障診斷系統的適用性；文中將bp神經網路演算法用計算機實現；並針對其本身存在的一些缺點提出了一系列改進措施，通過在修正權值的時候增加動量項，並且限制輸入值范圍來減小誤差、提高系統的診斷正確率；在對輸入數據進行歸一化處理的時候，採取按類逐項歸一化的方法，避免了輸入數據出現0或者1而使訓練進入平坦區。
  15. Concerning the characteristics of our country ' s residential section, the basic pattern of the intelligent residential section system is designed. by analyzing the functions of system ' s different components, the thesis proposes great number of advantages in constructing controlling network system of residential section intelligence with lonworks technology. then, one system of home intelligence control based on the neuron chip which is the central cell of the. lonwoks technology is established, and the related bottom application program and the interface of human and machine are also represented

    本文通過對國內、外智能住宅及其小區智能化建設的有關資料分析，結合我國住宅小區的特點，規劃設計了住宅小區智能化系統的基本模式，通過對其各組成系統的功能分析，指出用lonworks技術構建住宅小區智能化控制網路系統有許多優越性，並對lonworks技術的核心元器件神經元（ neuron ）晶元做介面擴展，構建了一個家居智能控制系統，給出了相應的底層應用程序和人機界面管理程序。
  16. On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system, this paper sets up an adaptive noise cancellation controller based on artificial neural network, which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end, this paper proposes some advices of model and algorithms

    在對基於誤差反向傳播學習演算法的多層前向人工神經網路進行分析基礎上，結合傳統自適應噪聲抵消系統基本原理，建立了基於人工神經網路的自適應噪聲抵消器，經基於matlab的simulink模擬實例證明，具有很強的噪聲濾除能力和魯棒性。最後並提出了網路及演算法進一步改進的方法。
  17. In two axis system, a circle interpolator is designed, and a new method based on ga - neural networks is proposed to adjust pid parameters online to reduce the tracking error. then, an integrated controller based on rbf neural network ( rbfnn ) is designed to reduce the contouring error of the two axis. experimental results show that the proposed integrated controller significantly improved accuracy in both tracking and contouring

    對于雙軸系統設計了一個軌跡為圓的插補器，採用基於遺傳演算法?神經網路的在線pid參數調整演算法，減小了系統的跟蹤誤差，並分析雙軸之間的輪廓誤差，設計出基於rbf神經網路的綜合控制器，經過模擬實驗證明，本文採用的綜合控制器能有效地減小系統的跟蹤誤差和輪廓誤差，提高系統的控制精度。
  18. A new method was introduced for testing the fuel injection law of diesel engine via neural network on the basis of the calculation of the pressure waves measured by a sensor clamped on the high - pressure tube of a diesel engine

    對用外卡式壓力傳感器測量的柴油機高壓油管壓力波計算噴油規律的方法進行分析，提出了利用人工神經網路檢測柴油機噴油規律的方法。
  19. After the analysis of several important aspects of neural control, two novel neural controllers are then proposed. the first controller fam neural controller ( famnc ), based on pre - defuzzifing fam, is presented for bridging the gap between fam and nn. the equivalence of pre - defuzzifing and general fam is proved constructively

    在分析了神經網路控制的一些關鍵技術基礎上，提出了預去模糊fam原理和fam神經控制器，給出了預去模糊fam和一般fam的等價性的構造性證明。
  20. Study on increasing selectivity index of infrared gas analyzer with neural network

    基於神經網路技術提高紅外氣體分析器的選擇性
分享友人
分享到 Line

分享到臉書