artificial error 中文意思是什麼

artificial error 解釋
人為誤差
  • 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...
  • error : n. 1. 錯誤；失錯。2. 謬見，誤想；誤信；誤解。3. 罪過。4. 【數學】誤差；【法律】誤審，違法；（棒球中的）錯打。adj. -less 無錯誤的，正確的。
  1. The equations are also deduced with handwork in order to verify the validity of the procedure with artificial intelligence. crosscheck show even classic document by mack have also fatal error in equation and boundary condition

    為了確認lesliem . mack經典文獻（參考文獻[ 1 ] ）給出的公式有錯，又與人工推導的公式進行對比，以此證明機器推理的可靠。
  2. With the corrected parameter files, the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system. artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment. the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described

    在核保障核查測量中和實物監測中，測量對象往往是規格確定並種類有限的元件或部件，只需要關心測量對象的屬性是否發生了變化，或者對同一種類的放射性樣品的一致性做出判斷，這種要求下使用神經網路方法是比較適宜的，並且神經網路方法是與探測器和探測效率無關的。
  3. Secondly, he put forward the practical criteria of differentiating between correctness and error, the criteria of " three benefits " and differentiating " right " and left in politics. thirdly, he expounded a series of principles and methods about how to bring errors under control and correct errors, such as correcting errors resolutely when one has errors, correcting errors by oneself, being friendly to the people who has errors and helping them to correct errors, no punishing those who have errors and be prudent in punishing those who have errors. finally, he pays much attention to the principles of avoiding errors in ideology and practice ^ specially he focus on the principle of avoiding errors from the aspect of institutional and artificial factors

    他指出了錯誤發生的社會歷史因素、思想認識上的因素、實踐活動中的因素、體制上、制度上的因素；提出了辨別錯誤的實踐標準、 「三個有利於」標準，辨別政治錯誤的「左」和右的標準；闡明了有錯必糾、堅決改正，自己糾錯，不搞運動，重在教育，對待犯錯誤的人要與人為善、分別對待，強調幫助，不強調懲處、處理要謹慎等治錯、糾錯的原則和方法；強調了思想認識上、實踐活動中的防範錯誤的原則以及主要是防大錯、根本是要從制度上、體制上、從人的因素上防錯的原則和方法，並指明改革、發展是解決一切問題的關鍵。
  4. In the course of modeling, we present multi - step generalized gradient method and multi - stage curve fitting technique, prove convergence of multi - step generalized gradient method by using differential equation stable theory, analyze the error of multi - stage curve fitting technique by using inner space, creat knowledge base of water network system by using the maximum subordinate principle of and near - select principle of pattern recognition. at last we make the optimal running scheme of water network system based on heuristic search technique of artificial intelligence and global feedback immediate coordination method of large scale system theory

    在建立系統模型的過程中，提出了多步廣義梯度法和多層曲線擬合的建模方法，並用微分方程穩定性理論證明了多步廣度梯度法收斂性，用內積空間的有關知識對多層曲線擬合進行誤差分析;應用模糊數學中的最大隸屬度原則和模糊識別中的擇近原則和人工智慧中狀態空間表示法建立注水系統的知識庫;用人工智慧中的啟發式搜索技術和大系統理論中的具有全局反饋的直接協調法制定注水系統的優化運行方案。
  5. A nonlinear visual mapping model of the 2d eye - in - hand robotic visual tracking problem is proposed and a new visual tracking controller based on artificial neural network with bp - ga mixed algorithms is designed. simulation results show that this method can drive the static tracking error to zero quickly. moreover, a new nonlinear visual mapping model of the 3dof eye - in - hand robotic visual tracking problem is studied and a new visual tracking

    （ 5 ）針對基於圖像雅可比矩陣的機器人手眼平動視覺跟蹤問題，建立了新的視覺映射模型，提出了基於bp一ga混合學習演算法的人一神經網路機器人平動視覺跟蹤方法，模擬結果表明該方法控制下系統跟蹤誤差快速趨近於零。
  6. Study application methods of the multi - sources data in map production, including sort of sources, data collection, and data processing, in order to updating the map and spatial data in one platform. put forward the new sort of spatial data error based on production. the artificial operation error is the main affection part on spatial data quality

    在地圖內容增加和修改時，屬性信息和符號化圖形始終一同變化，保證了在地圖生產的同時又完成空間數據生產或更新，這成為一體化生產模式的第二個關鍵；對地圖生產中的多源數據利用作了較為全面的研究，包括資料分類、數據獲取方法和數據處理方法。
  7. In order to improve the model ' s veracity, the paper uses artificial neural network to establish nonlinear error correction model

    為了提高模型的準確性，本文引進人工神經網路技術建立了非線性誤差校正模型，減少預測誤差。
  8. It has not only functions like self - study, orientation, organization, also avoids evaluation artificial error in process, attaining the purpose of objective evaluation

    不僅具有自學習、自適應、自組織功能，而且避免了評價過程中的人為失誤，達到客觀評價的目的。
  9. The noise estimation theory of the gps / ins integrated navigation system and the error analysis is are systematically discussed in this dissertation. at first the paper briefly introduce the error of the integrated system and the cause of the error, and give an estimation model of the error. in order to solve the precise estimation of the error using artificial neural network, then an artificial neural network model is discussed

    本論文首先介紹了gps慣性組合導航系統的誤差和誤差模型，綜述了gps和慣導系統的誤差和誤差來源，給出了這兩種導航系統的誤差方程，討論了導航系統中常用的數據處理方法?卡爾曼濾波，給出卡爾曼濾波的基本方程，深入研究了卡爾曼濾波在組合導航系統數據融合中的應用。
  10. Realization of improved bp algorithm - single output three layers " artificial neural network generator base on improved bp algorithm has been developed by the author, and the generator has some functions that the number of neuron in first and second layer and theirs related training parameters such as learning rate. momentum factor a and the value of sum error e can all be self - defined by the users ; connection weights and threshold in each layer ' s neuron training data and teaching signals can also be input or modified in the friendly interface

    生成器功能是:網路結構中的第一、二層神經元個數和訓練參數中的學習速率粉，動量因子a和期望誤差值:可由用戶在一定范圍內自定義;各層的權值、閥值、網路初始樣本值及教師值可在友好的界面下輸入、修改。
  11. The application of hybrid algorithm which combines improved genetic algorithm and error back - propagation algorithm in artificial neural network training is studied first

    首先研究了將改進遺傳演算法和誤差反向傳播（ bp ）演算法相結合的混合演算法來訓練人工神經網路。
  12. First, calculating time delay and embedding dimension to reconstruct phase space. second, based on chaos theories, the artificial neural network is used to build one - step and multi - steps predictive model. third, combining with an adaptive filter, predictive error is processed so that weak signal is extracted from strong chaotic noise

    研究的內容分為三個方面: （ 1 ）確定嵌入維數和延遲時間重構相空間; （ 2 ）將混沌理論與人工神經網路結合，建立混沌時間序列（混沌背景）的一步與多步預測模型; （ 3 ）結合自適應信號分離器對預測誤差進行處理達到檢測微弱信號的目的。
  13. This thesis expounds fundamental principle and realization technique of artificial neural network and genetic algorithm, and redacts artificial neural network procedures. - ( l ) adopting batch processing high - speed algorithm, the thesis redacts back - propagation network procedure to enchance training velocity, in which learning rate and momentum parameters are modulated self - adaptably during error correction

    本文闡述了人工神經網路和遺傳演算法的基本原理及實現技術，並在此基礎上利用matlab5 . 3編寫了人工神經網路程序： （ 1 ）編寫了bp人工神經網路程序，採用vogl 「批處理」快速演算法，學習速率、動量參數在誤差修正過程中自適應調節，提高了訓練的速度。
  14. Artificial error signal

    人為誤差信號
  15. This thesis is organized as follow : chapter 1 gives a general introduce of the basic theories and basic mathematic models of the artificial neural networks, it briefly introduce some main mathematic models and some machine learning algorithm, such as bp 、 hopfield 、 sofm 、 boltzmann machine 、 cmac and etc. in the chapter 2, the author go deep into the bp mathematic model and it ' s algorithm, and emphases on the faults of the bp algorithm, analyzed the reason that cause the bp networks " error shaking, at the same time the writer advanced a improving algorithm

    本文首先對人工神經網路的基本理論和基本模型進行了論述，簡要介紹了在人工神經網路應用和研究領域當前幾種主導的數學模型和機器學習演算法： bp 、 hopfield 、 sofm 、 boltzmann機、 cmac神經網路等；第2章深入分析了bp神經網路模型和演算法，重點分析了該演算法存在的問題，剖析經典bp演算法造成誤差震蕩的原因，並提出了理論上改進方案。
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