neural plate 中文意思是什麼

neural plate 解釋
神經板, 髓板
  • neural : adj. 【解剖學】神經（系統）的；神經中樞的；【解剖學】背的，背側的。adv. -ly
  • plate : n 1 厚金屬板 〈cf sheet〉 板（片）；（記有姓名等的金屬）牌子，（尤指醫生的）招牌，藏書牌；【印刷...
  1. 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
  2. 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
  3. The purpose of this thesis is to use artificial neural networks ( ann ) to identify the aerodynamic parameters. first introduced in this paper is the basic theory of ann and wind engineering in bridge, then ann is presented to identify the aerodynamic derivatives of ideal thin plate. a back - propagation ( bp ) ann is established and trained for many times to contrast the influences of some factors on the prediction results

    首先對人工神經網路和橋梁風工程的基本理論作了簡單的介紹，接著採用人工神經網路識別了理想薄平板的氣動導數，並分析了數據處理方式、隱層單元數、訓練次數、隨機賦值次數、樣本數量對訓練結果的影響，討論了訓練的穩定性。
  4. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ]. 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j. 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine ' s model, and makes a primary research of basic structure and design method, then makes research of the multi - character method

    並應用於車牌分割問題，提出基於小波與神經元模式識別的車牌圖像分割方法； 2 ）特徵提取階段：將結構特徵提取方法和統計特徵提取方法的緊密有機結合，提出一種基於小波和矩的車牌圖像字元特徵向量提取方法； 3 ）分類識別階段：對智能識別技術進行研究，提出智能識別機的模型結構，對識別機的基本層次結構和設計方法進行初探；並針對多特徵方法進行一定的研究；本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  5. Using processed experiment data of practical ship plate, the author establishes six linear regression models and three neural network models in this thesis with local contraction being the response variable. the explanatory parameters used in the models are attributed to the collaboration of department of naval architecture, dalian university of technology and dalian new shipyard

    作者在大連理工大學船舶工程系與大連造船廠、新船重工多年合作，通過大量的試驗板與實船板試驗測試，在找到的影響加工成形的主要參數的基礎上，運用回歸分析法，對945鋼水火加工成形進行了試驗、分析。
  6. Using the different gradients of the plate area and the non - plate areas in a car image, a neural network is trained. then the image is classified with the trained network. finally, with the help of the projection features and the geometric features of car license plate, the license plate is located

    該演算法利用牌照區和非牌照區不同的梯度特徵對神經網路進行訓練，之後用訓練好的神經網路對圖像進行分類，最後結合牌照的投影特徵和幾何特徵實現牌照的定位。
  7. The application of decoupling control based on neural network during production of plate belted steel

    基於神經網路的解耦控制在板帶鋼生產過程中的應用
  8. An automatic car license plate locating algorithm using elman neural network is presented

    提出了一種基於elman神經網路的汽車牌照自動定位演算法。
  9. This paper use techniques of linear windows, differential operator, min operator, fuzzy - mathematics and mathematical morphology to complete the precise orientation of license plate, and use horizontal projection and local - least value techniques to complete the segmented of the characters, and the artificial neural network technology is applied to complete the character recognition

    本文應用線窗口、差分運算元、 min運算元、模糊數學、數學形態學等技術手段完成了車牌的精確定位，應用水平投影、局部最小值等方法完成了車牌字元的分割，應用神經網路感知機等技術解決了字元識別的問題，開發出實用的演算法。
  10. In regard to the deformed character of the license plate and the varied illumination and strong noise disturbance conditions, this paper put forward a character recognition method based on the artificial neural network which has many merits, such as highly anti - interference quality, highly recognition rate

    針對車牌字元圖像的變形、非均勻光照、強噪聲干擾等條件，本文提出了一種基於神經網路感知機的字元識別方法，該方法具有網路結構簡單，識別速度快，抗干擾能力強，識別率高等諸多優點。
  11. Vehicle license plate recognition based on flexible template matching and parallel neural networks

    基於彈性模板匹配和并行神經網路的車牌字元識別
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