artificial neural network 中文意思是什麼

artificial neural network 解釋
類神經網路
  • 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...
  • 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
  • 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. 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。
  3. 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。
  4. 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。
  5. 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。
  6. 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。
  7. 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。
  8. Flood level forecast model for tidal channel based on the radial basis function - artificial neural network

    用徑向基函數神經網路模型預報感潮河段洪水位
  9. ( 2 ) the artificial neural network models can reveal internal relations between structural parameters and operation, and formularize the maping of input - output information

    （ 2 ）網路模型可以揭示結構和參數與運行之間的內在關系，將輸入、輸出關系量化公式。
  10. 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。
  11. Expert system has many merits. it has the ability of heuristic illation, and can explain for illation and append new knowledge in the knowledge database. but it also has obvious shortcomings, such as, poor ablitity in ka ( knowledge achieve ), inefficient and incomprehensive. the artificial neural network has the ablitity of parallel processing, associative memory, distributed storage of knowledge and high robust etc. it also has perfect characteristics of self - organizing, self - adaptive, self - learning. it specializes in visualize ideation but is short of logic ideation

    專家系統在故障診斷領域得到廣泛的應用，專家系統具有許多優點，能利用專家的知識進行啟發式推理，能夠解釋其推理過程，並能夠不斷地、靈活地增加新的知識。但專家系統也存在明顯的缺陷：獲取知識能力差、效率低、范圍窄。可以說專家系統長于邏輯思維缺乏形象思維。
  12. An automatic order determination of color isochromatic fringe based on bp artificial neural network is presented

    提出基於bp神經網路的彩色域等色線自動定級法。
  13. The complex function between isochromatic fringe orders and rgb gray values of the image pixels is described by bp artificial neural network. the technique can improve the precision of experimental stress analysis in three - dimensional photoelastic thin slices

    其特點是通過bp神經網路建立圖像中像素點的r 、 g 、 b顏色值與條紋級數n之間的非線性關系；可以準確地得到3級以內等色線條紋級數。
  14. Because color isochromatic fringes appear in the stress model based on a plane polariscope in white light, we studied the problems systematically by a digital camera as image inputting device, digital image processing technique and bp artificial neural network. based on the work that has been reported before, a technique named five - step color phase shifting technique ( fcpst ) to acquire single isoclinics is presented

    根據白光入射時應力模型在偏振儀光學系統中的等色線條紋是彩色的特點，本論文採用彩色數碼相機作為數據採集與輸入設備，結合彩色信息圖像處理和bp神經網路等新技術，對上述兩個難題進行了系統的研究，獲得以下成果：在綜合前人工作的基礎上，提出獲得全場單純的等傾角相圖的五步彩色相移法。
  15. Application of artificial neural network on the stability analysis of latticed shell

    人工神經網路在網殼結構穩定性計算中的應用
  16. In this paper, we combine normalized pattern spectrum, relative mome - nts and geometrical characteristic with artificial neural network to achieve classify and recognize the chart of axes track

    本文主要介紹了以歸一化數學形態學譜、相對矩和形狀參數為特徵，結合人工神經網路實現對軸心軌跡的自動識別和分類。
  17. Since human ' s knowledge of real neural system is very limited, the improvement and development of artificial neural network need more detail information from neurophysiology and neuroanatomy

    由於人類對真實神經系統只了解非常有限一部分，人工神經網路的完善與發展有待于神經生理學、神經解剖學的研究給出更加詳細的信息和證據。
  18. Bp artificial neural network based predicative model for viral hepatitis ' incidence

    人工神經網路的病毒性肝炎發病率自回歸預測模型
  19. A novel method based on artificial neural network bp algorithm to perform the parametric identification in deep foundation excavation is proposed hi the paper. taking in situs measurements as network input and parameters to be identified as network output, the network is trained with the samples obtained from fem computation

    將某些現場實測值作為網路的輸入，土層物性參數作為網路的輸出，通過有限元正分析模型取得學習樣本來訓練網路，從而達到對深基坑開挖過程中的多層土體的物性參數進行辨識的目的。
  20. The feasibility of measuring the amount of terebinth in the turpentine on line by using artificial neural network was validated in my thesis

    本論文的研究驗證了軟測量技術，尤其是運用神經網路建立軟儀表數學模型用於松節油含油量大小檢測的可行性。
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