recognition network 中文意思是什麼

recognition network 解釋
識別網路
  • recognition : n. 1. 認識；識出；識別；面熟，認得；招呼。2. 承認，認可。3. 褒獎，表揚；感謝，酬勞。
  • network : n. 1. 網眼織物。2. （鐵路、河道等的）網狀系統，網狀組織，廣播網，電視網，廣播[電視]聯播公司。3. 【無線電】網路，電路。4. 【計算機】電腦網路，網。
  1. Face recognition based on ica and bp neural network

    神經網路相結合的人臉識別研究
  2. Immune evolutionary algorithms are optimal algorithms in essence, therefore, they can be used in some fields, such as cybernation, pattern recognition, optimal design, meshing learning, network security, etc. there are also some examples of these attempts described in this paper

    免疫進化計算在本質上講是一種優化演算法，所以它們可以應用於一些諸如自動控制、故障診斷、模式分類、圖象識別、優化設計、機器學習和網路安全性等廣泛領域，本文在這方面也做了一些初步的嘗試。
  3. This paper introduces a typical nonlinear dynamics technique, based on the fractal geometry to achieve quantitative description and automatic analysis of wear particles generated between running friction parts inside diesel locomotive, discusses the model and algorithms of fractus calculation of wear particles, and finally gives the correspondent experimental results, in which wear particle ' s automatic recognition is finished by means of the cooperation of fractal geometry and artificial neural network

    本文引入分形幾何這種非線性系統方法來完成對磨粒的定量描述和自動分析，給出分維數演算法模型及相應實驗結果，並結合人工神經網路來完成磨粒的分割與自動識別。
  4. Handwritten character recognition based on bp neural network

    神經網路的手寫字元識別
  5. 4. using bp neural network on setting up recognition classifying device of leucocytes images, and then train it

    運用bp神經網路建立白細胞圖像識別分類器，進行網路訓練。
  6. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  7. The detailed works are as follows : the finding patterns problems in the time - series data sequence are described, and a new trend logic expression method is introduced, and its algorithm and experiment result of algorithm are given ; time - scries data are disposed, and using the arctg. slope of line as the sample of pattern recognition, so ignoring the aberrance of pattern in the classified. in addition, a new time - series pattern finding algorithm based on higher - order neural network is put forward

    同時給出了本文的具體的工作，主要是：對在時序數據序列中發現模式問題進行了描述，並介紹了一種新的趨勢邏輯表示方法，給出了其演算法及演算法的實驗結果；對時序數據進行處理，提出了利用線段的斜率反正切值作為模式識別的樣本，從而在分類時忽略模式的畸變；另外，還提出了一個新的基於高階神經網路的時序模式發現演算法。
  8. Finally, bp neural network is improved for face recognition, the problem on choice of parameters is discussed, the sigmoid function and weight adjustment are improved for higher convergence speed

    討論了傳統bp神經網路的參數選取問題，對sigmoid函數和網路學習速率進行了改進，以提高系統的收斂速度和收斂率。
  9. Analysis of the recognition performances of synergetic neural network

    協同式神經網路的識別性能分析
  10. In other words, we depend on the strong ability of classification of nn to recognize the characters of a car plate ; 4 ) under the precondition of inadequate samples, we introduce the technology of additional sample in the progress of characters recognition which uses experiential knowledge to construct some sample artificially and then inserted these samples into the sample set in order to improve the performance of network

    在字元的識別過程中，在使用較為簡單的圖像處理技術的基礎上，仍然使用構造性的覆蓋演算法，依靠神經網路強大的分類能力來對車牌字元進行識別： 4探討了在樣本數量較少的情況下，通過在字元識別過程中引入附加樣本的技術，利用先驗知識對原先的樣本集進行擴充，從而提高網路的性能。
  11. In this thesis, we combine the theory of neural network and traditional image processing technique, analyze and research the topic of the location and recognition of vehicle license plate based on structural alternative covering algorithm, and try to locate the car plate even there exist lots of distributive factors in the image and recognize the characters finally

    本文基於構造性的覆蓋演算法，將神經網路技術和傳統的圖像處理技術相結合，對車輛牌照的定位和識別進行了較為深入的分析和研究，力求在圖像中存在較多干擾因素的情況下仍然能夠較好的定位車牌並給出最終的識別結果；論文主要工作和創新點如下： 1
  12. 3. as there are up to 106 managed objects on element level of tmn ( telecommunications management network ) in telecommunications network, and the scheme to collect management information affects the performance of network management, a new algorithm - saa ( self - adaptive algorithm ) used for retrieving multi objects information has been put forward in this thesis. saa can adjust the retrieving objects and interval of retrieval self - adaptively by using the schemes of self - adaptivity, fault tolerance, recognition status of object dynamically etc., and thus can use fewer network resources without alteration of snmp ( simple network management protocol ), iiop ( internet inter - operability protocol ) or cmip ( common management information protocol )

    針對傳統的定時提取網路管理信息方法的不足，提出了一種提取多管理對象信息的新演算法? ?自適應演算法saa （ self - adaptivealgorithm ） ，該演算法能在不改變管理協議，如iiop （ internetinter - operabilityprotocol ） 、 snmp或cmip （ commonmanagementinformationprotocol ，公共管理信息協議）的情況下，採用自適應策略、容錯策略、動態識別被管對象狀態策略、被管對象存儲空間的動態刷新策略，根據本次訪問被管國防科學技術大學研究生院學位論文對象所得出的網路通信量，自適應地調整下次應該訪問的被管對象和讀取被管劉?象數據的時間間隔，從而可以較少地消耗所用的網路帶寬和cpu資源。
  13. Via this neural network, we can eliminate those regions which contain no plate and then use color information to modify the correct region and find the accurate position of car plate finally ; 3 ) in the progress of recognition, we apply the structural alternative covering algorithm and only use some basic techniques to process the image

    將構造性的覆蓋演算法應用於牌照的定位，在對這些區域進行分析后提取出各自的特徵並進行學習，構造出相應的神經網路，用來排除假的干擾區域，同時結合圖像的顏色信息來對前期的定位結果進行修正，最終得到正確的車牌位置： 3
  14. Multirate analysis on neural network recognition of diesel cylinder pressure

    多抽樣率分析在柴油機氣缸壓力神經網路識別中的研究
  15. This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described

    利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。
  16. The neural network technology and feature abstraction method is combine to recognition the picture in this thesis, and the art - 2 neural network is adopted. did a amount of simple and involved experiments on picture recognition

    因此，本文作者將神經網路技術同圖像特徵提取相結合，採用art - 2型神經網路技術對圖像進行識別，並進行了大量簡單和復雜圖像識別實驗。
  17. The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research

    調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。
  18. Face recognition : an approach based on feature fusion and neural network

    一種基於特徵融合及神經網路的方法
  19. Shape patterns recognition is the key to the shape control. based on the neural network optimizing theory, the shape signals recognition network with 6 - input and 3 - output is established

    板形是衡量冷軋薄帶鋼的質量指標之一，板形模式識別則是板形控制的關鍵。
  20. The measurement network module of dynamic liquid level reflected the variational factors and their degrees, produced a simple way of incipient accident recognition, important of all, it made for bettering craft. the recognition network module of incipient danger & hazards divided them into several graduations, assured of safety - control & process - control

    動態液位網路測量模型反應出了影響實際液位變化的因素及其相關程度，為生產的事故隱患提供了簡易判定依據，更重要的是為生產工藝的改進打下了基礎。
分享友人
分享到 Line

分享到臉書