訓練用棒 的英文怎麼說

中文拼音 [xùnliànyòngbàng]
訓練用棒 英文
knock bat
  • 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...
  • 用 : Ⅰ動詞1 （使用） use; employ; apply 2 （多用於否定: 需要） need 3 （敬辭: 吃; 喝） eat; drink Ⅱ名...
  • 棒 : Ⅰ名詞（棍子） stick; staff; club; cudgel Ⅱ形容詞[口語] （強; 高; 好） strong; excellent; good
  • 訓練 : train; drill; manage; practice; breeding
  1. Application of blood urea in baseball and softball training

    血尿素指標在普通高校棒壘球訓練中的應用
  2. 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。
  3. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  4. 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。
  5. These movements are controlled by the trainer with the metal - pointed stick, and the trunk eventually becomes so sore that the elephant curls it up and seldom afterwards uses it for offensive purposes

    訓練員要用有鋒利金屬尖的長棒控制它的這種舉動，象鼻子最後疼得卷了起來，以後它就很少用鼻子去進攻了。
  6. According to request that military put forward, the target car that subject research should have such characteristics as remote control, high precision, good safeguarding, needing no track, etc, so as to achieve purpose of course require correctly when training to carry on cannon static to static, static to move, move to static, move to move etc. target car transfer speed require low inertia, high accuracy, high dependability, stupid and getting excellent and kind systematically ; wireless communication system expect much dependability, better anti - interference ability ; computer control system demand and try one ' s best to adopt advanced technology, components and parts source of goods reliable, high dependability, structure to be simple, have serial communication, digital display, systematic trouble examine and function of showing etc. the job of this thesis is divided into three major parts : the proposition and confirming of the electric power pulls, specification requirement and selecting type of equipment of communication system, sureness of the computer control system scheme

    根據軍方提出的要求，本課題研製的遙控坦克靶車應具有遙控、精度高、維護性好、無軌道、自帶動力等特點，以達到訓練時進行火炮或導彈靜對靜、靜對動、動對靜、動對動設擊等課目的要求。靶車調速系統要求低慣性、高精度、高可靠性、魯棒性好；無線通訊系統要求高可靠性、抗干擾能力強；微機控制系統要求盡量採用先進技術、元器件貨源可靠、高可靠性、結構盡量簡單，具有串列通訊、數字顯示、系統故障自檢及顯示等功能。本文的工作分為三大部分：電力拖動方案的提出及確定、對通訊系統的技術要求及設備選型、微機控制系統方案的確定。
  7. Based upon the deficiencies of the back propagation algorithm in the practical application, after some mechanisms effecting the network training and the other performances are analyzed when training samples with disturbance are employed in training, in this paper, through combining the chief thoughts of the classical bp algorithm and the robust statistic technique, improving the optimal algorithm of the bp algorithm, a new algorithm with high robustness - robust adaptive bp algorithm is proposed, and also make a good effect when integrated this new algorithm with the dynamical bp network to predict the stock price

    本文從基本bp演算法在應用中存在的不足出發，著重分析了訓練樣本中所含噪聲對基本bp演算法在網路訓練過程中產生的不良影響，並以此為依據，採用魯棒統計技術，同時在優化演算法上做了一些有益的改進，提出一種新的具有較強抗干擾能力的bp演算法? ?魯棒自適應bp演算法，並將其應用於動態bp網路，進行股票價格的預測，取得了較好的預測效果。
  8. The characteristic of method is, in every process of iterative learning, after obtaining better approaching precision of network training for model identification iteratively, the feed - forward action of iterative learning control law for the next trail is constructed by output signals of the neural network, and then integrated with feedback control to track the desired trajectory of robot in real time

    該方法的特點是，在每一次迭代學習過程中，使神經網路訓練到對模型的辨識達到比較好的逼近精度后，利用神經元網路的輸出構造下一次迭代學習過程中控制律的前饋部分，再將它與實時反饋控制結合，形成本文提出的魯棒迭代學習控制演算法，並對機器人系統進行控制。
  9. We think he is very good. we are impressed by his agility and even if we can ' t speak chinese we can understand him

    （我們都覺得他很棒，雖然我們不能用漢語和他很好的交流，但是我們依舊被他精湛的技術折服，並且我們在訓練中也能夠互相理解。 ）
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