artificial neural network system 中文意思是什麼

artificial neural network system 解釋
人工神經元網路系統
  • 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。
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  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. 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。
  3. 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。
  4. 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。
  5. ( 2 ) based on bdi modal, the main function of diagnostic agent is implemented in three aspects : as cbr ( case based reasoning ), production diagnostic system and artificial neural network, these three methods mentioned above are processed step by step

    （ 2 ）以bdi結構模型為基礎，從cbr （基於實例的推理） 、產生式診斷系統和神經網路診斷系統三個方面實現了診斷agent的診斷功能。
  6. Specially in which a bp artificial neural - network was used to recognize the sequential pressure signal of the dosing system and to identify its state

    特別是，採用bp人工神經網路對灌注系統壓力波形進行識別，並從中得到灌注系統的故障狀態。
  7. The artificial neural network provides convenient and fast tools to simulate rice growth and gets ride of the limitation of traditional models. 4. fuzzy discrimination system of photothermal traits was developed with fuzzy logic theory and matlab 5. 1

    4 、在水稻高產栽培專家系統的基礎上，利用模糊邏輯的理論和方法，以matlab5 . 3為編程工具，研製了水稻光溫生態特性的模糊鑒別系統，試圖提高專家系統的功能。
  8. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。
  9. The first chapter surveys the state - of - the - art of intrusion detection and the related problems. the second chapter provides the details of intrusion detection techniques, in particularly, it introduces two concepts ( network - based ids ( nids ) and host - based ids ( hids ) ), and the distributed ids. besides, this chapter proposes three intrusion detection methods ( misuse detection, anomaly detection and integrality test ), and discusses the applications of the artificial neural network technology 、 expert system technology 、 and pattern reasoning technology in the ids

    第二章討論入侵檢測技術基礎，介紹了基於網路的入侵檢測系統（ ndis ）和基於主機的入侵檢測系統（ hdis ）的概念，對分散式入侵檢測系統也進行了相關介紹;討論了三種入侵檢測辦法，包括誤用檢測（ misusedetection ） 、異常檢測（ anomalydetection ）和完整性檢測，介紹了人工神經網路技術、專家系統技術以及模式推理技術在ids中的應用。
  10. On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system, this paper sets up an adaptive noise cancellation controller based on artificial neural network, which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end, this paper proposes some advices of model and algorithms

    在對基於誤差反向傳播學習演算法的多層前向人工神經網路進行分析基礎上，結合傳統自適應噪聲抵消系統基本原理，建立了基於人工神經網路的自適應噪聲抵消器，經基於matlab的simulink模擬實例證明，具有很強的噪聲濾除能力和魯棒性。最後並提出了網路及演算法進一步改進的方法。
  11. Visual rice growth models ( vrgm ) and rice expert system of cultivation management for high yield were established by synthesizing the results of " national rice project " and combining the cultivation knowledge, experience of experts, while the techniques of artificial neural network and fuzzy logic were employed to improve the rice growth models and the expert system. the main results are as follows

    本研究系國家「九五」攻關項目「水稻大面積高產綜合配套技術研究與示範」課題的子專題，結合水稻高產栽培技術資料和水稻專家的知識、經驗以及科研成果，研製成了可視水稻生長模型（ visualricegrowthmodels ， vrgm ）及水稻高產栽培專家系統，並在此基礎上進一步利用人工神經網路模型、模糊邏輯技術和田間栽培試驗，對生長模型和專家系統進行了改進。
  12. The principle and the way of quality control of woolen top using artificial neural network were discussed. the possibility was discussed that the conventional mechanic carding machine was modified with a computer automatic controlling system based on the artificial neural network. compared with the general automatic controlling system, computer automatic controlling system based on the artificial neural network was put forward to the experiment

    探討了利用人工神經網路進行粗梳毛紡毛條質量控制的原理及方法，探討了用基於人工神經網路的計算機自動控制系統改造傳統機械式梳毛機的可能性，通過比較基於人工神經網路的計算機自動控制系統與一般自動控制系統提出了基於人工神經網路的計算機自動控制系統，經對實測數據驗算，控制精度十分理想。
  13. In the paper, a speed estimator based on artificial neural network is designed according to the principle of direct torque control, the speed estimator is optimized by genetic algorithm, and the parameters of pid speed adjuster is also optimized by genetic algorithm. a stator linkage and torque observer based on stator resistance estimator using fuzzy neural network is also designed. eventually, the intelligent control of direct torque control system is implemented

    本文根據異步電動機直接轉矩控制原理，在應用人工神經網路進行速度辨識的基礎上，利用遺傳演算法對神經網路速度辨識器進行了優化設計；運用遺傳演算法對pid速度調節器的結構和參數進行了整合；在採用模糊神經網路對電機定子電阻辨識的基礎上，進行了定子磁鏈及轉矩的觀測，為最終實現無速度傳感器直接轉矩控制系統的智能控制創造了條件。
  14. Using artificial neural network, a new approach to process flight dynamic datum is presented, and a fault aircraft flight simulation system is established

    並提出了一種利用神經網路來處理氣動力模型數據的方法，建立了故障飛機模擬系統。
  15. The objective of this thesis is to design an artificial neural network adaptive reconfigurable flight control law basing on the view of engineering and to establish a flight simulation system with normal aircraft, fault aircraft, normal flight control law, reconfigurable flight control law and fault verification by c + + program

    本文目的是從工程角度考慮，重點開發神經網路自適應的自修復重構飛行控制律。並在c + +環境下建立具有正常與故障飛機、正常與自修復重構飛行控制律和故障認定等模塊的飛行綜合模擬系統。
  16. There are many methods to gas load forecasting, including : regression analytical method, time serial method, elasticity coefficient forecasting, index analytical method, grey method, fuzzy logic forecasting, artificial neural network forecasting model, experts system forecasting model, optimizing combination forecasting model, etc.

    用於燃氣負荷預測的方法很多，包括:回歸分析法、時間序列法、彈性系數預測法、指針分析法、灰色預測法、模糊邏輯預測法、人工神經網路預測法、專家系統預測法、優化組合預測法等。
  17. Images of huanghua pears were acquired by means of machine vision system the method to describe the shape of irregular fruit was studied, in which the fourier transform and fourier inverse transform were applied a sort of software for fruit shape identification based on artificial neural network was developed

    利用機器視覺採集黃花梨圖像，研究了不規則果品的形狀描述方法，提出在黃花梨的分級過程中採用傅立葉變換與傅立葉反變換對來描述果形，開發了基於人工神經網路的果形識別軟體。
  18. Taking ningxia - inner mongolia reach of yellow river as a study case, a ice regime forecast data warehouse is established for the datamining concerned on the basis of the analysis on the ice regime changing law and its influencing factor of the reach, and then the conceptual mathematic model and artificial neural network model for the parameter calibration of ice regime forecast are built up with gis in combination of the relevant empirical forecast models based on the principles of the hydrological flow muting, thermodynamics and ice hydraulics etc., with which the design and development of the decision support system for the ice regime forecast with the integrated functions of information inquiry, model parameter calibration, temperature forecast and ice regime forecast are preliminarily discussed

    摘要以黃河寧蒙河段為例，在對河段歷史冰情變化規律及其影響因素分析的基礎上，建立冰情預報數據庫，進行數據挖掘，並以地理信息系統（ gis ）為平臺，以水文學流量演算、熱力學、冰水力學等原理為基礎，結合相關經驗預報模型，建立用實測資料進行參數率定的冰情預報概念性數學模型和人工神經網路模型，初步探討了集信息查詢、模型參數率定、氣溫預報、冰情預報等功能為一體的冰情預報決策支持系統的設計與開發。
  19. 2 artificial neural network, which is one of services provided from the matlab platform, is applied to simulate the relationship between input and output in the system in order to recognize the system so that the performance function can be transformed into the random variable from the force

    在matlab平臺上利用人工神經網路來模擬系統的輸入與輸出關系，對系統進行識別，從而使大壩功能函數由對應于的應力表達直接轉化為外界隨機變量來表達。
  20. The gcad system utilizes artificial neural network to mapping coefficients of the gear, establish the foundation for optimization design of the gear. by parametric design, the system realizes drawing and solid modeling. by using expert system, the gcad system can aided designer to make some scheme decision, as well as some important designing, calculating, checking, analysis and drawing, so, can improve the design quality, as well as work efficiency of the designer

    Gcad系統包括參數計算、參數化繪圖、專家系統、輔助功能和幫助系統五個部分，通過matlab引擎，充分發揮了matlab及autocad各自的優勢；通過利用人工神經網路映射齒輪系數，為齒輪傳動的結構優化設計奠定了基礎；通過參數化設計，實現了齒輪的二維參數化繪圖和三維實體建模；通過將專家系統應用於gcad系統中，初步實現了集方案輔助決策、設計、計算、校核、分析以及繪圖功能於一體，提高了齒輪設計水平、設計質量和設計人員的工作效率。
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