誤差反向傳播 的英文怎麼說

中文拼音 [wùchāfǎnxiàngzhuànbō]
誤差反向傳播 英文
ebp
  • 誤 : Ⅰ名詞（錯誤） mistake; error Ⅱ動詞1 （弄錯） mistake; misunderstand 2 （耽誤） miss 3 （使受損害...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 反 : Ⅰ名詞1 （方向相背） reverse side 2 （造反） rebellion 3 （指反革命、反動派） counterrevolutionari...
  • 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）...
  • 播 : 播名詞（姓氏） a surname
  • 誤差 : error
  • 傳播 : 1 （廣泛散布） disseminate; propagate; spread; （over）; diffuse; transmit; run 2 [物理學] propag...
  1. 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。
  2. In order to satisfy the requirement of the given precision, the connection power of the networks is studied and adjusted using the baekpropagation training algorithm ( bp algorithm )

    採用誤差反向傳播演算法（ bp演算法）對網路的連接權值進行學習和調整，以滿足給定的精度要求。
  3. Error back propagation network is one kind of ann and it ' s widely used in economics prediction

    誤差反向傳播網路（ ebp網路）是人工神經網路的一種，它被大量運用在經濟學的預測問題上。
  4. This paper focuses on the classification based on back - propagation neural network

    本文主要研究以誤差反向傳播bp神經網路處理的分類問題。
  5. The application of hybrid algorithm which combines improved genetic algorithm and error back - propagation algorithm in artificial neural network training is studied first

    首先研究了將改進遺傳演算法和誤差反向傳播（ bp ）演算法相結合的混合演算法來訓練人工神經網路。
  6. In this article we use a bp neural network to classify the eddy current signal and its result is also presented, which indicate that artificial neural network has vast potential in eddy current signal processing

    本文選用基於誤差反向傳播（ bp ）演算法的神經網路對信號分類，並給出分類結果，表明了神經網路在渦流材質檢測信號處理中應用的巨大潛力。
  7. Secondly, binary probability hypothesis detection is studied and is utilized as actuators " fdi residual decision. thirdly, multi - layer feed - forward ann and error backward propagation ( bp ) algorithm are studied and are utilized as control surfaces " failure detection and sortation

    第三，研究多層前饋神經網路及相應的bp （ errorbackwardpropagation誤差反向傳播）演算法，設計基於模型殘差的故障分類器，並通過其來完成全局舵面的故障檢測與分類。
  8. Using the back - propagation artificial neural networks which have the satisfactory nonlinear prediction ability, the correlation between molecular structures and flash points of fatty alcohols was studied with molecular structure descriptors as input parameters and flash point as output one

    同時引入具有高度非線性預測能力的誤差反向傳播人工神經網路方法，以分子結構描述符作為神經網路的輸入參數，閃點作為輸出，研究脂肪醇的閃點與分子結構之間的相關性。
  9. The living example certification indicates that the neural networks model of this paper possesses the good convergence with the error back - propagation algorithm, and can pledge the satisfactory mapping precision, and gain the forecasting result of ideal, and provides the reliable basis for the policy decision

    實例驗證表明本文的神經網路模型用誤差反向傳播演算法具有良好的收斂性，能夠保證滿意的映射精度，取得了理想的預測結果，為決策提供了可靠的依據。
  10. 2. based on the original bp network, some improvement on error back propagation arithmetic is made. the executing speed of the algorithm is increased through online adjustment of learning rate. combined with traditional pid control, this method generated two integral schemes : bp network + pid serial control and self - confirming control of parameters of pid controller based on bp network are constructed

    在原有的誤差反向傳播（ bp ）網路的基礎上，對其學習演算法進行了改進，通過在線調節學習速率，提高了演算法的實現速度，並且與傳統的比例積分微分（ pid ）控制方法進行結合，分別實現了兩種集成方法： bp網路與pid串列控制方法和基於bp網路的pid參數自整定控制方法。
  11. The main point of this project is to research the theories and applications of artificial neural network ( ann ) which is suitable for large scale science data mining. especially, our research focus include : dimension reduction techniques based on independent component analysis ( ica ) and wavelet - based denoising or compressing techniques for feature extraction in scientific datasets which have complex features ; classify and clustering techniques of ann combination with data grid, back - propagation neural network, self - growing multilevel self - organizing map for large scale knowledge founding in sdm

    特別深入研究以獨立分量分析（ ica ）為主的降維技術、以小波神經網路為主的壓縮降噪技術解決科學數據特徵復雜不便識別的問題;以同網格結合的神經網路、誤差反向傳播的bp神經網路、自適應多級自組織特徵映像網路為主的分類、聚類技術解決科學數據挖掘中的大規模知識發現問題。
  12. The bic method generalized from ar model was adopted to determine the number of input neurons in grnn prediction model. the grnn was applied to single - step and multi - step ahead prediction of the vibration time series of a rotating machine, and its performance was compared with that of 3 - layers perceptrons network with error back propagation training algorithm ( bpnn ). it is indicated that the grnn is more appropriate for prediction of time series than the bpnn, and the performance of grnn is qualified even with sparse sample data

    研究了基於廣義回歸神經網路（ grnn ）的大型旋轉機械振動狀態預測，提出了應用bic準則確定grnn預測模型輸入神經元數目的方法，將grnn用於大型機組振動峰?峰值時間序列的預測，與採用誤差反向傳播學習演算法的三層前饋感知器網路（ bpnn ）的預測結果對比表明， grnn的預測性能優于bpnn ，而且，即使樣本數據稀少，也能獲得滿意的預測結果。
  13. Firstly, on the basic of normal error back propagation algorithm ( bp a1gorithm ), the model was added the inertia impulse item in the updating formula for weight, and then let learning rate and inertia parameter adjust ll self - adaptively, so the improved bp algorithm ( improved bp algorithm, ibp algorithm ) formed

    首先，該模型在誤差反向傳播演算法（ bp演算法）的基礎上，在網路權值更新公式中添加慣性沖量項，並對學習率和慣量因子進行自適應調整，從而形成bp改進演算法（ improvedbp演算法，簡稱ibp演算法） 。
  14. Secondly, we discuss the convergence of a sort of discrete bsdes and simulate its solutions. finally, we discuss stabilities of dbsdes and drbsdes in numerical calculations

    最後，討論了近似誤差在反射型倒向隨機微分方程離散解的計算過程中的傳播穩定性。
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