訓練樣區 的英文怎麼說

中文拼音 [xùnliànyàngqū]
訓練樣區 英文
training field
  • 訓 : Ⅰ動詞1 （教導; 訓誡） lecture; teach; train 2 （解釋） explainⅡ名詞1 （準則） standard; model; ex...
  • 練 : Ⅰ名詞1 （白絹） white silk 2 （姓氏） a surname Ⅱ動詞1 （加工處理生絲） treat soften and whiten s...
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 區 : 區名詞（姓氏） a surname
  • 訓練 : train; drill; manage; practice; breeding
  1. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  2. But neither is china our inevitable and implacable foe. china is a competitor and a potential regional rival, but also a trading partner willing to cooperate in the areas - - such as korea - - where our strategic interests overlap

    和我們駐扎在日本的陸海空軍和海軍陸戰隊士兵一樣，我們駐扎在韓國的3萬7千名士兵，同訓練有素、士氣高昂的韓國士兵一起，都明確無誤地表明了我們在太平洋地區的決心和關注。
  3. In this paper, an approach of the systematic artificial neutral net was introduced into the analysis on the ship - against - bridges probability with a computer programs. based on the basic data of the present 12 typical bridges as the sample, 4 chief influential factors as the input coefficient, such as the bridge span, the water flow rate, the incline angle between water flow direction and the direction normal to bridge axis, and the curve in the course near the bridge area, with the ship - against - bridge probability as the output coefficient, the intelligent judging system of the ship - against - bridges probability reflecting the influence of the above input parameters is obtained after training

    本文首次將人工神經網路系統方法引入了船撞橋概率的研究當中，編制了計算程序，成功地以現有12座典型橋梁的基礎數據為樣本，以橋梁跨徑、水流流速、水流方向與橋軸法線的夾角以及橋區航道彎曲度等4個船撞橋主要影響因素為輸入參數，以船撞橋概率為輸出參數，經訓練得到了能較好地反映上述輸入參數影響的船撞橋概率判斷系統。
  4. To improve a child ' s ability to differentiate, parents can encourage their child to help put away books, toys, clothes or tableware as a way of teaching him to notice the similarities and differences of various objects and surroundings

    訓練孩子的辨別能力，家長在日常生活中可讓孩子幫忙整理書籍、玩具、衣物或餐具，讓孩子發現每樣東西之微妙差異，將可提高他們區分個別東西的共同點或差異性。
  5. One such organization in mathare is mathare youth and sport association ( mysa ), a self help youth program linking sports with environmental cleanups, aids prevention, leadership training and other community service activities involving approximately 20, 000 young people

    在瑪莎其中一個這樣的組織，就是瑪莎青年體育會，這是一個自我救助的組織，將體育與環境清潔，愛滋病預防，領導訓練和其它社區服務活動，來做連結，約兩萬名青年人加入。
  6. Experimental results show that after reducing the dependency of features, sa method works better. the most three important features of the license plate regions are obtained in the experiment and our algorithm is robust in filtering out false plate regions. in the module of binarization of license plate, based on algorithm of casda ( cluster algorithm based on spatial distribution analysis ) an improved quick binarization algorithm i - casda are proposed to get rid of the influence of the illumination

    運用本演算法對復雜背景的車輛牌照進行檢測，實驗結果表明，基於簡單平均融合運算元的檢測演算法得到的檢測率高， 80 . 36 （訓練樣本）和76 . 54 （測試樣本） ，平均檢測速度為每幅圖象0 . 81秒，滿足實時性要求；區域寬高比、區域密度和區域寬度比率是車牌區域最重要的三個特徵；本演算法魯棒性好，可較好地排除相似紋理區域（如廣告牌等）的干擾。
  7. The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn

    本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法
  8. The method takes advantage of gray model acceptable for modeling of small samples to produce additional trained samples of network in the region of poor information and then uses anfis to train network again

    該方法利用灰色模型適用於小子樣建模的特點在樣本空間的貧信息區域插值生成附加網路訓練樣本，然後再由anfis重新訓練網路。
  9. The main conclusions are as follows : through the different structure and algorithm application of bp model in the predication of regional groundwater hydrology, the hidden layers number, learning rates, neuron number of hidden layer and training errors of bp model and accelerated bp algorithm which influence the convergence effects and test results of model are compared each other. some application technology related parameters of bp structure design are put forward

    論文取得了以下主要成果：通過不同bp網路結構和演算法在區域地下水文預測中的實例研究，重點比較了不同層次結構、隱層單元數、學習速率、訓練收斂誤差等4個基本要素及不同演算法、不同樣本容量等對模型收斂效果、模擬、檢驗與預報結果的具體影響。
  10. First, simple rapid versions of these tests need to be developed that can be used at typical health posts by personnel with minimal training. second, because it is not going to be feasible to put cd4 and viral load tests in every local clinic, techniques need to be developed to allow samples to be safely transported to laboratories in district or national hospitals and then have results communicated back

    一、研究出簡單的快速測試法，使在診所工作、接受過最基本訓練的醫護人員也懂得使用；二、由於難以為每間診所添置上述儀器，必須研究出可行的技術，使血液樣本能安全運送到地區或國家級醫院的實驗室進行化驗，再將結果通知有關診所。
  11. This text realizes optimal linear combination method basing on recognition confidence. this method advances recognition confidence scaling recognition performance for each sample. in train phase divide train samples into different areas with their recognition confidence and apply olc in different areas to get multi - classifier combination power vector

    此方法提出了用於衡量分類器對單個樣本識別性能的判決可靠度，在訓練階段根據各分類器的判決可靠度把訓練樣本分成不同的區域，從而可以在不同的區域里應用最優線性集成方法得出各區域的分類器組合權值。
  12. Thirty roots of precast reinforced concrete piles and bored and cast - in - place piles in xi ' an had been trained with this model, and nine roots o f precast reinforced concrete piles and eight roots of cast - in - place piles had been predicted by simulating. when contrasted and analyzed the predicting result and actual numerical value, the error is always less than 20 % ( mostly within 15 % ), which has achieved a better result

    利用該模型對西安地區鋼筋混凝土預制樁、鉆孔灌注樁各30根作為樣本進行了訓練，並分別對9根鋼筋混凝土預制樁和8根鉆孔灌注樁進行了模擬預測，將預測結果與實測值進行了對比分析，其誤差都在20以內（大部分在15以內） ，取得了較好的結果。
  13. 4 in the post processing of correlation signal, in order to improved the recognition possibility to the distorted multi - object, we increase the amount of information of roi and choose the optimal numbers of neurons. so the roi could include enough feature but does not make the cpu burdened too much. on the other hand, a new method of selecting roi is realized, as a result, recognition possibility was increased and the number of samples for ann trainning decreased

    4 、在相關信號后處理中，為了增強人工神經網路（ ann ）對畸變多目標的判別能力，一方面增大了感興趣區域（ roi ）的信息量、優選了神經元數目，使roi既能充分包含相關峰的特徵，又不至於過分增加計算機的計算負擔；另一方面，提出並實現了一個從眾多的roi中選取最有效的少數roi的演算法，不僅大大提高了ann的識別效果，還使供ann訓練的采樣數目降低一個數量級。
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