artificial network 中文意思是什麼

artificial network 解釋
模擬網路
  • artificial : adj 1 人工的，人造的；人為的 （opp natural）。2 摹擬的 （opp genuine real）; 不自然的，矯揉造作的...
  • 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. After long - term synthetic action of these factors, the complicated rock mass in the right dam foundation come into being. the adjoining rock engineering geological classification of water - conservancy and hydraulic - power project reconnaissance code ( gb50287 - 99 ), geomechanic system ( bieniawski, 1973 ), rock mass quality index z ( xiaowang, 1995 ), artificial neural network and field classification were used in the rock mass quality classification

    本文採用水利水電工程地質勘察規范（ gb50287 - 99 ）的圍巖工程地質分類、巖體rmr分類（ bieniawski ， 1973 ） 、巖體質量指數z分級（小灣， 1995 ）以及人工神經網路分類，對壩區巖體按其基本指標作出定量化評分、分級。
  2. We use artificial immune principles to design a novel antibody network which based on the immune algorithm and neural network, and use these as in - depth research of the application of our achievement to engineering. in this paper, we built the novel antibody network which based on the two intelligence algorithms and reach the application of its use in the intrusion detection system. furthermore we create an ideal antitype system from it

    本課題以人工免疫系統和神經網路為研究對象，並依託四川省科技廳基礎項目「智能入侵檢測系統的關鍵技術研究」 （項目編號: 04jy029 - 017 - 1 ） ，將人工免疫原理和神經網路技術相結合，提出了應用於入侵檢測系統的新型抗體網路，為該項目在工程領域中的進一步研究、應用提供理論依據
  3. Third, however, the automaticity of artificial neural network can also be a weakness on the view from another angle

    人工神經網路的自動性在另外一個角度也會成它的一個弱點。
  4. Second, the process of modeling an artificial neural network has very high automaticity, for it can accomplish many inner processes automatically

    人工神經網路模型在建立過程中，自動化程度相對較高，許多內部過程可以自動完成。
  5. In the same time the output torque can also be measured and controlled rapidly and accurately. due to the complex nonlinear relation between the applied electrical field and the torque, it ' s difficult to set up the model using existing physic and mathematic theories. however, artificial neural network can express discretional nonlinear relation and has ability of study, which provides a new concept and method to solve this problem

    由於波紋式電流變傳動機構的外加電場和電流變液產生的力矩間呈復雜的非線性關系，用現有的物理和數學理論來建模尚有一定的難度，而人工神經網路有表示任意非線性關系和學習的能力，給解決這類問題提供了新思想和新方法。
  6. By setting up dummy variable regression equation, the effect of non - economy factors is analyzed quantitatively. 3. using artificial neural network to map the relationship between the household appliance percentage and average residential electricity demand, this paper presents an artificial intelligent method to forecast residential electricity demand

    建立帶有虛擬變量的多元回歸方程，同時考慮了影響居民電力需求的經濟因素和非經濟因素，定量描述了非經濟因素（例如氣候、生活習慣、消費習慣）對居民用電的影響。
  7. But its accuracy of detecting is low in application. in this paper we try to find a method based on artificial neural network to improve the accuracy of detecting faulty insulators

    本文力圖通過大量的實驗室和現場數據的分析，發展一種基於人工神經網路的不良絕緣子診斷方法，提高脈沖電流法用於檢測不良絕緣子的準確性。
  8. The thesis presents a expert system for identifies power quality disturbance signal, after compare the artificial neural network, nearest neighbors, fuzzy decision, and expert system. we bring forward the project flexible rule - based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. this project for disturbance classifies has lower mistake ratio and facility maintenance

    採用專家系統的方法進行模式識別，在對神經網路、最近鄰法、模糊邏輯和專家系統及一些交叉方法等模式識別方法進行比較分析的基礎上，根據電能質量信號故障分析的特點，提出了採用規則基專家系統的方法，該模式識別方法具有便於擴展、修改和識別率高等特點。
  9. A experiment of a beam damage detection based on artificial network

    基於神經網路的簡支梁損傷檢測研究
  10. Many new methods, such as reduction of gravity data to a horizontal plane, wavelet analysis, higher order statistics, joint inversion and interactive inversion of gravity, magnetic, electric and seismic data, 3 - d visualized inversion, as well as bp artificial network method have been widely used in the integrated data processing

    山區重力資料曲化平，小波分析及高階統計量等現代信號處理方法，重震、重磁、電震的聯合反演與交互反演，三維可視化反演， bp人工神經網路方法等在綜合地球物理處理解釋中得到廣泛應用。
  11. Application of fuzzy controller inferred by neural artificial network to the setting of strip thickness in hot rolling

    人工神經網路推理的模糊控制器應用於熱軋帶鋼厚度設定
  12. Appiication of artificial network to predict building thermal load

    利用神經網路預測空調負荷
  13. The results show that moment features and tabulated data are more effective than statistics and fractal parameters in distinguishing five kinds of discharge. but the former have larger input dimension to bp artificial network

    識別結果表明矩特徵和三維譜圖表列數據有較好的識別效果；統計運算元和分形特徵提取的特徵維數較少，但識別率較前者低。
  14. After processing original data, characteristics were extracted using four kinds of methods. these characteristics include tabulated data extracting from pattern, statistics, fractal parameter using gridding methods and moment features. bp artificial network is used to classify different kinds of discharge

    本文採用四種方法對實驗獲取的局部放電樣本提取了局部放電的特徵量，主要提取了局部放電的三維譜圖表列數據、統計特徵、分形特徵和局部放電灰度圖象的矩特徵這四種特徵量。
  15. Based on the uncertainty and fuzzy characteristic of occurring of piping, fuzzy neural network of piping is proposed further. the same collected data is used to train and predict the model and gets good results, which proves fuzzy artificial network is also an effective method to predict and judge the occurring of piping

    針對管涌發生的不確定性和模糊性，文中進一步建立了管涌的模糊神經網路模型，用同樣的樣本對模糊神經網路進行訓練和測試，獲得不錯的預測結果，證明模糊神經網路也是預測判定管涌發生的有效方法。
  16. Broadband artificial network

    寬頻人工電源網路
  17. Construction of an evaluation method for road traffic safety system basing on bp artificial network

    一種道路交通安全神經網路評價模型的構建
  18. A novel artificial network model based on fuzzy - rough set for gas emission forecasting of coal is proposed in the paper

    本文建立了基於模糊粗糙集的神經網路預測模型，對瓦斯湧出量進行了預測。
  19. According to the application of such processes to artificial network used for robot control, called gasnets, the system has been introduced

    對于國際上現有的幾種no與神經網路的結合思想，我們簡單介紹了gasnets及其數學模型，並分析了其優越性。
  20. Finally, the article uses the testing device get the quantitative signals of mixed gas. with which the article train the artificial network and test the net by the theory of artificial network. and the result shows that the net can fulfill our requirements

    接著利用實驗裝置，採集了傳感器陣列的定量輸出信號，根據bp神經網路的相關理論，利用樣本信號對網路進行了訓練和驗證，結果基本滿足要求;隨后根據網路各層的權值和閾值，將網路移植到單片機中。
分享友人
分享到 Line

分享到臉書