遞歸傳遞網路 的英文怎麼說

中文拼音 [dìguīzhuàndìwǎnglù]
遞歸傳遞網路 英文
recursive transition network
  • 遞 : Ⅰ動詞（傳送;傳遞） hand over; pass; give Ⅱ副詞（順著次序） in the proper order; successively
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 傳 : 傳名詞1 （解釋經文的著作） commentaries on classics 2 （傳記） biography 3 （敘述歷史故事的作品）...
  • 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...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. Accuracy of ptfs is evaluated by the root of the mean squared difference ( rmsd ). last, we compared measuring values with estimation values of regression method and bp model. the evaluating results indicate that ptfs developed by regression method or bp model satisfy to use to the education, research and production practice for keerqin sandy land

    最後對統計回歸模擬模型和dp神經網路模型進行了對比評價分析，對比分析結果表明，用兩種模型建立土壤傳遞函數（ ptfs ）的預測效果都比較理想，均可應用於科爾沁沙地的教學、科研和生產實踐中。
  2. Then, as the substitute of the traditional pi controller, neuron adaptive psd controller is used to alternate the velocity loop of dc driver system, simulation results show that the super - shoot in new system is small and the performance in the way of anti - disturbance and anti - time - varying parameters are higher than the traditional pi controller and robustness of the dc driver system improved greatly, in addition, through analysis of the character of the neuron adaptive psd controller, the paper presents a neural network self - tuning control method for dc driver system in which the diagonal recurrent neural network is used to identify the plant to calculate the plant ' s sensitivity for psd controllers simulation results indicate that excellent static dynamic target was got with this control method and the performance of the system is improved greatly,

    然後，應用單神經元自適應psd控制器改造調速系統的轉速環，代替傳統pi調節方式的轉速控制器。模擬表明，新系統在超調、抗負載擾動和參數時變方面性能優于的傳統的pi控制方式，系統的魯棒性增強。在分析單神經元自適應psd控制器特性后，本文提出用對角遞歸神經網路辯識控制對象，為psd控制器提供靈敏度參數，從而構成一神經網路自校正控制方案。
  3. Feijie business ideas, in addition to uphold the fine tradition through good organizational system, the training of outstanding professional talent, supplemented by advanced managerial concepts, in june 2000 the establishment of czech international freight limited, a level freight forwarding business license, in september 2000 the implementation of computer networking logistics tracking enquiry system to provide timely enquiries services, and in december 2000 officially made iso9001 : 2000 international quality certification ; as china ' s market development needs of trade and industry, guangdong province in march 2002 with the postal enterprises directly under the transport company limited ( shenzhen markets would express cargo industry ltd. ) launched a comprehensive business integration and network reorganization ; towards the people of the real, for the sake of customer satisfaction for the purpose of the era

    飛捷的經營理念，除秉持優良的傳統，透過優良的組織制度，培訓優秀專業的人才，並輔以先進的管理觀念，於2000年6月成立中捷國際貨運有限公司，取得一級貨運代理營業執照， 2000年9月施行計算機聯網物流追蹤查詢系統，為客戶提供及時性的查詢服務，並於2000年12月正式取得iso9001 ： 2000國際品質認證；鑒于中國市場之工貿發展之需要， 2002年3月份與廣東省郵政運輸有限公司直屬企業（深圳市拓遞業貨物速遞有限公司）展開全面性的業務結合與網路重組合作；真正邁向以人本為依歸，以顧客滿意為宗旨的時代。
  4. Firstly, wall ’ s transfer matrix is deduced by laplace transformation based on 3r2c thermal network model. secondly, frequency response of transfer matrix is calculated. thirdly, we make the frequency response of transfer matrix of stimulation model equate the theoretical frequency response of wall transient heat conduction by applying appropriate identification algorithm, from which we can obtain every polynomial ’ s coefficient of model transfer function, then each parameter of resistance and capacitance is calculated by appropriate optimization algorithm

    首先，根據模擬熱流網路模型用拉普拉斯變換推出墻體的傳遞矩陣;然後，計算傳遞矩陣的頻率響應;最後，採用頻域回歸方法求出模型傳遞函數各次項的系數，進而通過一定的優化演算法確定模型的各個熱阻、熱容參數，使通過模型建立的多項式s -傳遞函數與墻體瞬時傳熱的理論超越s -傳遞函數完全等價。
  5. A speed - sensorless control method for bldcm, which applies recurrent fuzzy neural network ( rfnn ), is presented in this paper based on the dynamic model of bldcm. the rfnn controller is used as a speed controller to mimic the optimized output of the system

    本文基於bldcm的動態模型提出了一種性能較好的遞歸模糊神經網路（ rfnn ）無速度傳感器bldcm控制方法，採用rfnn控制器作為轉速控制器來近似最優控制器輸出。
  6. Nonlinear dynamic modelling of sensors is an important aspect in the field of instrument technique. the recursive neural network is proposed for nonlinear dynamic modelling of sensors, as its architecture is determined only by the number of nodes in the input, hidden and output layers. with the feedback behavior, the recursive neural network can catch up with the dynamic response of the system. the recursive neural network which involves dynamic elements and feedback connections has important capabilities that are not found in feedforward networks, such as the ability to store information for later use and higher predicting precision. a recursive prediction error algorithm which converges fast is applied to training the recursive neural network. experimental results show that the performance of the recursive neural network model conforms to the sensor to be modeled, and the method is not only effective but of high precision

    根據動態校準實驗結果建立傳感器的動態數學模型，以研究傳感器的動態性能，是動態測試的一個重要內容.討論了遞歸神經網路模型在傳感器動態建模中的應用，給出了遞歸神經網路模型的結構及相應的訓練演算法.由於其反饋特徵，使得遞歸神經網路模型能獲取系統的動態響應.該方法特別適用於傳感器非線性動態建模，而且避免了傳感器模型階次的選擇的困難.試驗結果表明，應用遞歸神經網路對傳感器進行動態建模是一種行之有效的方法
  7. Considering self - recursion " structure can work on its inversion effect, so the paper uses contractive mapping genetic algorithm to search its optimal struct

    考慮到自遞歸神經網路的結構影響到其反演效果，本文利用壓縮映射遺傳演算法來搜索其最佳的結構。
  8. At first, theories about system identification are systematically reviewed, including its contents and process. at the same time, the classical system identification methods are summarized, the advantage and disadvantage of these methods are analyzed. secondly, the history of nn is briefly reviewed, and the structure, function and algorithms of feedforward nn and the recurrent nn are particularly introduced

    本文首先介紹了系統辨識的內容，步驟和分類，對傳統的系統辨識方法作了總結，比較了幾種方法的優缺點；並回顧了神經網路的發展歷程，詳細介紹了前饋型網路與遞歸網路的結構、功能和演算法以及在實際應用中設計神經網路需考慮的問題。
  9. Neural networks can be viewed as a universal approximator for nonlinear functions, but the multi - layer feed - forward neural network which be used usually is a static state network in nature, it is disagree with the real - time identification for dynamic system. moreover, recurrent neural networks can simulate the state memory mechanism of dynamic system, so it can be utilized as the model of dynamic time delay system

    神經網路具有逼近任意連續非線性函數的能力，但常用的多層前饋式反傳網路本質上是一種靜態網路，不適合動態系統的實時辨識，而遞歸神經網路能夠實現對動態系統狀態記憶機制的模擬，因此更適合於作為動態時延系統的模型。
  10. A dynamic nonlinear system is identified through recurrent nn using back propagation ( bp ) algorithm and dynamic bp algorithm respectively

    然後利用遞歸網路對動態非線性系統進行辨識，並與傳統的預報誤差方法作了比較。
  11. ( 3 ) in the condition of feedback - signal sensor failure, the ftc is also discussed. an output recurrent feedback neural network is designed for estimating the system state

    （ 3 ）初步探討了控制系統在反饋信號傳感器故障情況下的容錯控制問題，提出了一種輸出遞歸反饋神經網路用於系統狀態估計。
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