identification delay 中文意思是什麼

identification delay 解釋
識別延遲
  • identification : n. 1. 認出，識別，鑒定，驗明（罪人正身等）。2. 【心理學】自居作用。3. 身分證。4. 【數學】黏合，同化。
  • delay : vt 延遲，拖延，耽擱。 We ll delay the party for two week 我們要把會期延遲兩周。 The train was del...
  1. A simple, robust method is proposed that relies on high - resolution measurements and on - line analysis of network traffic to provide real - time alarms in the incipient phase of network anomalies. the anomaly identification algorithms based on behavior model using path changes, flow shift and packet delay variance

    通過高性能測量和在線分析網路流和路由信息對初始網路異常產生實時報警，提出基於路由變化、流變化和包延遲建立網路行為模型的網路異常檢測演算法。
  2. No evidence supported that educational level were an estimator variable in eyewitness identification. main effect of target presentation and delay, and the interaction between instructions and simultaneous vs. sequential lineups were found significantly on choice. target presentation showed significantly main effect on identification accuracy

    分層回歸結果顯示，嫌疑人在列與否、指導語、辨認時間是否延遲以及指導語同隊列呈現方式之間的交互作用顯著影響了被試是否選擇的選擇決策行為；嫌疑人在列與否顯著影響了目擊辨認結果的準確性。
  3. In the aspect of blind - identification, the mutual power spectrumx time - frequency distribution product of two delay signals are used as the features of classification. the cluster analysis and cumulant invariants of mpsk signals are used to automatically classify communication signals

    在信號識別中，選取信號的互功率譜、時頻分佈、 mpsk信號的延遲相乘信號作為分類特徵，利用模式識別中的聚類分析以及mpsk信號的基於高階累積量構成的分類特徵不變量實現了信號調制類型的自動分類。
  4. Aiming at the control feature of large ship, the authors designed a 2 - rank derivative multi - step neural network predictive model and the algorithm of the large delay ship ' s course, and presented a fuzzy control autopilot scheme based on the model with rbf neural network and fcmac controller, it solved problems of model online identification and controller online design in traditional adaptive control, so that the high precision output follow - up control of large ship with large delay and uncertain nonlinear features can be realized

    摘要針對大型船舶控制特性，設計了船舶航向的神經網路二階導數多步預測模型及其辨識和預測演算法，提出基於徑向基函數神經網路多步預測模型和模糊小腦模型關節神經網路控制器的大時滯船舶航向模糊控制自動舵方案，解決傳統自適應控制中模型的在線辨識和控制器的在線設計問題，以達到對具有大時滯、不確定非線性特性的大型船舶實現高精度輸出跟蹤控制。
  5. Packet - to - packet delay times are shown visually, allowing instant identification of long latency and response times

    包到包的延遲時間形象化顯示，支持即時識別長的等待時間和響應時間。
  6. White noise acting as inspirit signal, the experiment data is collected. utilizing these data and error back propagating identification method, different neuron and input - output delay are selected. by comparing approximation ability and generalization ability, the neural networks model in position mode and velocity mode is identified

    並以模擬白噪聲為激勵信號，收集了數據;利用實際收集的數據，採用誤差反傳的辨識方法，選擇不同神經元及輸入輸出延時量的模型，通過比較網路的逼近能力和泛化能力，辨識得到了位置和速度兩種工作模式下的方位通道的神經網路模型。
  7. Identification and control of systems with time delay using neural networks

    時滯系統的神經網路辨識與控制演算法
  8. We are not liable for loss of, damage to or delay in the delivery of fragile or perishable items, keys, artwork, cameras, money, jewellery, precious metals, silverware, medicines, drug, dangerous goods, commercial goods, odd - sized articles, negotiable papers, securities or other valuables, business documents, passports and other identification documents, or samples, which are included in your checked baggage

    我們對于乘客托運的易碎或易壞物品，包括存放于托運行李內的：鑰匙，藝術品，攝影器材，金錢，珠寶，貴重金屬，銀器，藥物，危險物品，商品，不規則物件，商業票據，證券或其他貴重物品，商業文件，護照及其他身份證明文件，或樣本的遺失損壞或運輸延誤概不負責。
  9. Remove old destination tag. hand - carry items of value or important documents. we are not liable for loss of, damage to or delay in the delivery of fragile or perishable items, keys, artwork, cameras, money, jewellery, precious metals, silverware, medicines, drug, dangerous goods, commercial goods, odd - sized articles, negotiable papers, securities or other valuables, business documents, passports and other identification documents, or samples, which are included in your checked baggage

    如您的寄艙行李內有任何易碎或可腐爛物品鎖匙藝術品照相機金錢珠寶貴重金屬銀器藥物危險物品貨物形狀特別的物件可轉讓文件證券商業文件護照或其他身分證明文件或樣本，無論您是否已知會我們，我們均不會對上述物品之任何遺失損毀或因運送延誤而引致的一切後果負上責任。
  10. With pseudorandom binary sequence as inspiriting signal, feedback data is collected and time - domain and frequency - domain characteristic of the steering gear is analyzed. according to the results, system delay is determined. applying predictive error identification method, by comparing the different order model, model structure and parameters of the steering gear is determined

    以偽隨機二進制序列為激勵信號，收集了反饋數據;利用收集的數據，對舵機進行了時域和頻域特性分析;並以此為參考，確定了系統的延時量，應用預報誤差的辨識方法，通過不同階次模型間的比較，從而確定了舵機模型結構及參數。
  11. Neural networks can be viewed as a universal approximator for nonlinear functions, but the multi - layer feed - forward neural network which be used usually is a static state network in nature, it is disagree with the real - time identification for dynamic system. moreover, recurrent neural networks can simulate the state memory mechanism of dynamic system, so it can be utilized as the model of dynamic time delay system

    神經網路具有逼近任意連續非線性函數的能力，但常用的多層前饋式反傳網路本質上是一種靜態網路，不適合動態系統的實時辨識，而遞歸神經網路能夠實現對動態系統狀態記憶機制的模擬，因此更適合於作為動態時延系統的模型。
  12. The identification and control for nonlinear long delay time system based on neural networks of model prediction

    基於模型預測的神經網路非線性時滯系統的辨識和控制
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