線路識別 的英文怎麼說

中文拼音 [xiànlùzhìbié]
線路識別 英文
line marker
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 線路 : 1. [電學] circuit; line 2. [交通運輸] line; route
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. As to the critical technological problems of the interlock control of three - car coke oven - oven number identification, accurate contraposition and data transmission, the author proposes solutions respectively - rfid, three - light positioning device, coke oven controller and radio transmission network. these solutions can ensure accurate identification of the oven number. for example, the deviation of the automatic parking position is within 10mm

    針對三車聯鎖控制環節的關鍵技術：爐號識別、精確對正和數據通信，本系統採用了射頻識別（ rfid ）裝置、三燈位置檢測裝置、焦車控制器、無線通訊網路等解決方案，可實現無差錯的爐號識別，自動停車定位誤差在10mm以下，通信數據可靠等系統要求。
  2. 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。
  3. The disquisition includes choice of algorithm, accomplish of algorithm, collection of learning sample, parameter of net, shortcoming of bp algorithm, extraction and reduction form line etc. referring to shortcoming of traditional bp algorithm, a modified learning factor with adaptation is introduced. because of every different font has robust, the way based chain coded and knaggy feature is used. a bizarre sample feature database is constructed for speeding up modified bp learning and classification

    本文對人工神經網路理論進行了研究，探討了網路形式及演算法的選擇、演算法的實現、學習樣本的收集、網路參數選擇、 bp演算法缺陷、表格線提取、還原、生成及字元識別、還原生成等問題，並針對bp演算法的缺陷提出了和實現了改進型bp演算法，使網路學習效率提高，對不同人的不同字型字體有較強的魯棒性，採用了基於鏈碼特徵和凹凸分佈特徵的方法來抽取字元特徵。
  4. 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。
  5. 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。
  6. The inverse analysis method based on model discerning and all these curve fitting methods are used to forecast settlement of xuzhou - suqian expressway after completing. the result from calculation and analyzed shows the thinking and the method in the paper are suitable, and it can be proved its rationality and feasibility in studying and forecasting settlement after construction of the embankment

    結合徐宿高速公路，進行了基於模型識別的路基沉降反演預測和各類曲線擬合法預測工后沉降的計算，通過計算驗證了模型識別反演預測思路和方法的適用性和改進指數法預測路基工后沉降的有效性和合理性。
  7. 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。
  8. This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored

    二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。
  9. In blasting engineering, it is useful to the development of blast technology, by virtue of its neural networks " non - linearity and identification ability

    神經網路的非線性和識別功能在預測爆破效果及爆破塊度方面的應用取得了良好的效果，促進了爆破技術的發展。
  10. The artificial neural network is used to tackle an ill - posed problem of the parameter identification and to approximate nonlinear function relationship between the vibration responses of the hydraulic generator and model parameters

    利用人工神經網路具有解決參數識別反問題不適定性的能力，建立了水輪機系統響應與模型參數之間近似的非線性函數關系。
  11. 5. in step current detection, intelligent pattern recognition capacity of artificial neural networks is utilized, then man - made factors are eliminated during judging the quality of pipeline coating, as well as avoiding numerous iterant calculations in curve imitation. therefore, the speed of judging coating quality is accelerated greatly

    在恆電流階躍激勵檢測中，利用了人工神經網路的智能模式識別的能力，使得在管道塗層狀態判斷中消除了人為因素，同時避免了曲線擬合中的大量重復性計算，大大提高了塗層狀態判斷的速度。
  12. A technique of recognition for radio detected target based on wavelet and neural network theory

    神經網路的無線電探測目標識別技術
  13. Application of the algorithm for different observed head data sets indicate that the model can be successfully applied for aquifer systems where data available may be sparse and with errors. calculated groundwater heads by identification results in fourteen parameter areas are fit for observed heads in field, and flowing filed is similar. the study demonstrates the effectiveness of the ga global optimization model for parameter identification, which is an important step towards real system simulation and effective planning and management of groundwater resources

    通過算例研究，表明上述演算法可行，且rbf神經網路方法和退火遺傳演算法對地下水系統參數的識別效果都較好，而退火遺傳演算法較之標準的遺傳演算法具有更好的收斂性將演算法應用到北京市密懷順地區，在收集、分析研究區資料基礎上，建立了北京市密懷順平原區地下水模擬模型，並用遺傳演算法進行了地下水系統參數識別，在十四個分區情況下，計算水位與實際水位擬合的較好，各應力期末的計算與實測等水位線基本一致，表明該識別值較為合理。
  14. When the adhesion coefficient is close to the maximum tire - road friction coefficient, the current adhesion coefficient is used as maximum tire - road friction coefficient to control the drive torque

    當觀測到? -曲線接近於峰值點時，將該時刻的輪胎利用附著系數作為路面峰值附著系數，並根據識別的路面峰值附著系數進行驅動防滑控制。
  15. Recognition of the scanning style of the radar antenna using immune neural networks

    基於免疫神經網路的雷達天線掃描方式的識別
  16. A b - p neural network classifier is designed to the classification of three types of ship by using the feature vectors. the average correct recognition rate of three types ship reaches to 80 %. the result show that the above techniques based on hos are valid

    將上述方法所提取的線譜和連續譜特徵作為特徵參量，採用b - p神經網路對三類船舶實際噪聲樣本進行識別分類，平均正確識別率達到80 。
  17. Finally, bp neural network recognition model of particulate and aggregative fluidization and rbf neural network prediction model for chaotic time series of circulating fluidized bed have been set up, which provides new methods for on - line recognition of fluidization state and control and prediction of circulating fluidized bed systems

    最後建立了散式流化和聚式流化bp神經網路識別模型和循環流化床中的混沌時間序列的rbf神經網路預測模型，為流型在線識別和循環流化床系統的控制和預測等提供了新的方法。
  18. A planar sidm with j loops ( expressed in term of smj ) can be regarded as comprising of a sidm with j - loops ( expressed in term of smj - 1 ) and a dyad ( expressed in term of dyadj ). then, the circuit condition of sm, is determined by the circuit condition of smj - 1 and the configuration of dyadj. based on the above thought and combined with the automatic generation of structural decomposing of planar mechanism according to the type transformation theory, circuit automatic identification of planar sidm are realized, two examples are given to demonstrate the use of this method

    具有j個環路的sidm可看作由j - 1個環路sidm與一個雙桿組（記作dyad _ j ）組成，則sm _ j的迴路情況由sm _ （ j - 1 ）的迴路情況、 dyad _ j的構形以及dyad _ j與sm _ （ j - 1 ）運動的相互作用決定，基於此思想，在全面分析了所有類型雙桿組的構形及裝配條件的基礎上，與型轉化法機構結構分解路線的自動生成相結合，實現了平面sidm迴路識別的系統化與自動化；最後給出了兩個分析實例。
  19. The other one is the synthetical local nonlinear pca neural network recognition model constructed by combining the nonlinear generalization of pca and sub - space pattern recognition technology. we use the two recognition systems in handwritten digitals and characters recognition and obtain some satisfactory results. compared with some traditional classifiers, our systems have better recognition performances

    而基於非線性pca的神經網路識別模型對傳統的線性pca進行了推廣，並利用了子空間的模式識別方法，針對每個字元類使用神經網路建立多個模板，然後利用pca神經網路和聚類演算法構造自動編碼器組對模式類進行重構，避免了特徵提取的復雜性和信息的丟失，提高了系統的識別性能和運算效率。
  20. Pno - isc information document number 008. management of partial calling line identity

    Pnp - isc信息文獻號008 .局部呼叫線路識別管理
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