混合訓練 的英文怎麼說

中文拼音 [húngěxùnliàn]
混合訓練 英文
medley training
  • 混 : 混形容詞1. （渾濁） muddy; turbid2. （糊塗; 不明事理） foolish; stupid
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 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...
  • 混合 : （攙雜在一起） mix; blend; mingle; admix; mixture; mix up; interfusion; commixture; blending; cre...
  • 訓練 : train; drill; manage; practice; breeding
  1. The two - dimensional henon chaotic nonlinear map is effectively controlled by the proposed approach. secondly, because of the distinguished advantages, such as rapid convergency and strong approachability, the rbf networks is trained as chaotic controller by ogy scheme, then successful of controlling the henon chaotic map

    其次，利用一種學習過程收斂速度快、擬合能力強的rbf神經網路，以ogy法為依據，訓練網路成為混沌控制器，仍以henon映射作為混沌控制對象，對其混沌行為實施了成功控制。
  2. This article puts forward a solution named divide - assemble by deducing the size of bp neural network to overcome entering the local best point, the dividing process is that a big bp neural network is divided into several small bp neural networks, every small bp neural network can study alone, after all small bp neural networks finish their study, we can assemble all these small bp neural networks into the quondam big bp neural networks ; on the basis of divide - assemble solution, this article discusses the preprocessing of input species and how to deduce the size of bp neural network further to make it easy to overcome entering the local best point ; for the study of every small bp neural network, this article adopts a solution named gdr - ga algorithm, which includes two algorithms. gdr ? a algorithm makes the merits of the two algorithms makeup each other to increase searching speed. finally, this article discusses the processing of atm band - width distribution dynamically

    本文從bp網的結構出發，以減小bp神經網路的規模為手段來克服陷入局部極小點，提出了bp神經網路的拆分組裝方法，即將一個大的bp網有機地拆分為幾個小的子bp網，每個子網的權值單獨訓練，訓練好以後，再將每個子網的單元和權值有機地組裝成原先的bp網，從理論和實驗上證明了該方法在解決局部極小值這一問題時是有效的；在拆分組裝方法基礎上，本文詳細闡述了輸入樣本的預處理過程，更進一步地減小了bp網路的規模，使子網的學習更加容易了；對于子網的學習，本文採用了最速梯度? ?遺傳混合演算法（即gdr ? ? ga演算法） ，使gdr演算法和ga演算法的優點互為補充，提高了收斂速度；最後本文闡述了用以上方法進行atm帶寬動態分配的過程。
  3. In the algorithm level, currently various training algorithms of neural networks, including gradient algorithms, intelligent learning algorithms and hybrid algorithms, are comparatively studied ; the optimization principle of bp algorithm for neural networks training is analyzed in detail, and the reasons for serious disadvantages of bp algorithms are found out, moreover, the optimization principle of two kinds of improved bp algorithms is described in a uniform theoretic framework ; and the global optimization algorithms of neural networks, mainly genetic algorithm are expounded in detail, it follows that a improved genetic algorithm is proposed ; finally the training performances of various algorithms are compared based on a simulation experiment on a benchmark problem of neural network learning, furthermore, a viewpoint that genetic algorithm is subject to " curse of dimension " is proposed

    在演算法層，本文對目前用於神經網路訓練的各種演算法，包括梯度演算法、智能學習演算法和混合學習演算法進行了比較研究；對用於神經網路訓練的bp演算法的優化原理進行了詳細的理論分析，找到了bp演算法存在嚴重缺陷的原因，並對其兩類改進演算法-啟發式演算法和二次梯度演算法的優化原理，在統一的框架之下進行了詳盡的理論描述；對神經網路全局優化演算法主要是遺傳演算法進行了詳細的闡述，並在此基礎上，設計了一種性能改進的遺傳演算法；最後基於神經網路學習的benchmark問題對各種演算法在網路訓練中的應用性能進行了模擬研究，並提出了遺傳演算法受困於「維數災難」的觀點。
  4. Firstly, e - hmm is used to parameterize face image, the output likelihood of the e - hmm is encoded to form the input vector and is sent to the ann. by taking advantage of the discriminative training of ann, the weak discrimination of the maximum likelihood criterion can be improved, and the recognition performance can be improved by means of the learning ability of ann

    該混合識別網路用e - hmm的參數來描述人臉的整體性和局部細節性特徵，用e - hmm的輸出似然值序列組成ann的輸入矢量，利用ann的鑒別訓練能力來克服e - hmm的基於最大似然準則訓練演算法區分力較差的弱點，同時利用ann的學習能力來提高e hmm的識別性能。
  5. Originally established in 1938 as a flight training school for the chinese air force, zhi jiang ' s airfield played a key role in combating the japanese army ' s massive 1944 ichi go offensive, when the china american composite wing ' s 5th fighter wing was moved there to support chinese forces in south china

    最初是作為中國空軍的飛行訓練學校於1938年建立的，芷江機場在1944年的芷江保衛戰中扮演了一個很重要的角色，當時中美空軍混合編隊的第五戰斗編隊移師到那支持華南的中國空軍。
  6. Ann methods are feasible for the verification measurements in nuclear safeguards. experimental data sets have been used to study the performance of neural networks involving radial basis function neural network and generalized regression neural network ( grnn ). the optimization of the parameter spreads have been given and the analysis error of grnn no more than 0. 2 %

    分析結果表明，使用泛化能力較高的混合訓練集訓練神經網路，網路給出的富集度值與標準樣品的標稱值之間的相對差異小於13 % ；使用泛化能力相對較弱的分組訓練集訓練神經網路，網路給出的分析結果的不確定度小於2 % ；使用分組訓練集和廣義回歸神經網路，網路給出的分析結果的不確定度小於0
  7. The vq - based approach assumes a gaussian mixture distribution, which fits real - world image data reasonably well. after estimating this distribution through em method, this approach trains optimized vector quantizers to partition data space

    該方法使用更適合真實圖像庫的高斯混合模型描述數據分佈，並訓練優化的矢量量化器劃分數據空間。
  8. Interestingly, the group of students being trained in defense against the dark arts by harry, which calls itself dumbledore ' s army, also consists of a rather motley group of misfits and unlikely heroes

    有趣的是，自稱為鄧布利多軍的，由哈利進行黑魔法防禦術訓練的學生組織也由一群魚龍混雜的，不太合適的，不太可能成為英雄的人組成。
  9. The second is a fuzzy neuron network based hybrid filter, which comprises four basic components : plus - shaped center weighted median filter, cross - shaped center weighted median filter, nine pixels median filter, and a fusion center with fuzzy - neuron network. the proposed filter is able to effectively inherit the merits of the used three filters. the third is a fuzzy reasoning filter based on neural network

    第二種是基於模糊神經網路的混合濾波器，主要濾波器模塊有十字型中心加權中值濾波器、交叉型中心加權中值濾波器和9點中值濾波器，信號經過三種濾波器處理後送入一個訓練好的模糊神經網路進行融合處理，得到最終的濾波結果。
  10. Tuesday ' s game was an important test, but after lasting the course and creating both chelsea goals in a 2 - 1 win, cole was delighted with the outcome

    這個星期二的比賽是個重要的測試，但是經過了訓練課，和助攻2次的激烈比賽之後，科爾高興的宣布，藍軍風之翼王者歸來，而切爾西混合隊也以2 - 1戰勝了考文垂預備隊。
  11. In addition, we present the methods of how to evaluate the separability of image bank and how to estimate gmm parameters rapidly

    另外，作者還提出了關于如何衡量膚色模型訓練集的可分性以及一種快速的高斯混合模型參數估計的演算法。
  12. 18th annual acm sigir conf. research and development in information retrieval sigir 95, seattle, washington, usa, 1995, pp. 21 - 28

    2提出靜態學習訓練查詢和動態學習歷史查詢的混合學習策略，構建候選網路語言模型。
  13. The diagnosis program is made in visual c + +. the samples are trained with this network, during which the relationships between the network parameters ( such as rule number, study rate, expert network initial error and gate network error, circulation times and power index ) and learning error were probed into, and the outcome can provide the basis for network parameter selecting

    並採用visualc + +編制了系統程序，首先通過分層混合專家網路對故障樣本進行訓練，在訓練中對分層混合專家網路各參數（規則數、學習率、門網路中止誤差、專家網路初試迭代誤差、循環次數、加權指數等）與學習誤差平方和的關系進行了探討，其結果為樣本網路參數的合理選取提供了依據。
  14. 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。
  15. As a result, the classified accuracy of training samples were increasing while the training samples were increasing

    結果發現不論為何種混合樣本資料，分類正確率會隨著訓練?例樣本數的增加而呈現遞增的趨勢。
  16. Then the simulation tests on drum excess water and lack of water were practiced ; the results indicate that : if the network parameters are selected correctly ， the training samples can be convergent to a relative small and stable value with a small learning error. some comparisons can be made through sample training under the circumstance of me and the hme, after adopting hme with the tree - style structure, two layers of the gate network can enhance the control of the algorithm system. as a result the precision and stability is improved

    其實驗結果表明：只要合理選取網路參數，本文所編輯的樣本均能收斂於一個較小的穩定值，訓練誤差也較小，並且通過分層與不分層混合專家網路的樣本訓練結果比較可知，採用這個具有樹結構型式的分層混合專家網路，由於其中兩層門網路對系統的控製作用加強，因此樣本訓練的精度與穩定性有所提高。
  17. The dual standard quantity ( the work piece and the discrete standard quantity ) mutual measuring and model verification methods are also proposed, which perfects the whole modifying process from data measuring, error separation, model establishment to real correction. after researching the discrete standard quantity system dynamic error separation technique, two error correction methods based on genetic algorithm and neural network mixed modeling technique are established. the two methods are the discrete standard quantity dynamic error direct / synchronous correction and prediction model correction ; the model ' s parameters and model ' s exercising method are also confirmed

    設計了雙標準量值（工件和離散標準量）互比測量的模型驗證方法，完善了從數據測量、誤差分離、模型建立到實際修正的整個修正過程；研究了離散標準量系統動態誤差分離技術，建立了基於遺傳進化演算法與神經網路混合建模技術的兩種誤差修正方法? ?離散標準量動態誤差直接（同步）修正方法和預報模型修正方法，並確定了模型結構參數和模型訓練方法；分析了預報模型的多次預報性質，並得出了多次預報與多步預報的等效關系，確定了測量系統的有效預報范圍以及模型參數對泛化誤差的影響；進行了模型的對比實驗驗證和被測工件動態誤差修正試驗，成功地實現了任意二面角和圓分度的實時誤差修正。
  18. Gaussian mixture model training method based on genetic algorithms and fuzzy approach

    基於遺傳模糊高斯混合模型的訓練方法
  19. After training the neural network and fuzzy inference system with the method named gauss newton levenberg - marquard, we optimize these two systems with chaotic optimization method. simulated annealing algorithm and genetic algorithm can find the better solution, with the help of chaotic optimization method

    提出高斯牛頓levenberg ? manquardt方法和混沌優化相結合的演算法，利用該方法對神經網路和模糊神經網路進行了訓練，並用混沌進行了優化；還和模擬退火、遺傳演算法進行了結西安理工大學碩士論文合，幫助它們找到更好的解。
  20. In conclusion : hu gang - jun ' s training sticks to the proportion of mixed metabolize load from the beginning to the end, and enlarges mixed metabolize load in order to improve training load strength and raises special scores, enjoys striking character

    認為其最鮮明的特在於通過加大混合代謝的負荷來提高訓練的負荷強度，促進專項成績的提高。
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