auto learning 中文意思是什麼

auto learning 解釋
自動學習的
  • auto : n. (pl. autos) 〈美口〉汽車。vi. 坐汽車。
  • learning : n 學,學習;學問,學識;專門知識。 good at learning 善於學習。 a man of learning 學者。 New learn...
  1. " rdz - d90 d70 d50 " high vision compatible models with " auto recording learning " superior feature functions integrated with " x - omakase maruroku " automated dependability, along with the easy editing capability of digital camera stills for slide show creation with the " x - pict story hd " feature

    他介紹了" rdz - d90 d70 d50 "等各款對應高清晰電視的機型。這類機型集各項魅力之大成,包括"自動錄像學習能力"功能的" x -全自動錄像"能簡單地編輯數碼照片製作幻燈的" x - pict story hd "等。
  2. Because of using artificial intelligence ( ai for short ) and expert system ( es for short ) technology, it can not only auto distinguish subjective themes such as calculative or probative ones but also penetrate and dynamically construct learning case history of student

    由於採用了人工智慧和專家系統等技術,它不但能夠自動批改計算題和證明題等主觀題型,而且可以自動「透視」和動態構築學生的學習「病歷」 。
  3. In this paper, the author applied bp algorithm in this subsystem, and a model of crack detection of glass bottle is described. this model enables the detection system to enhance the capabilities of auto - learning and auto - adapting greatly by overcoming the weakness of the worse adaptability of adapting the change of the environment and the worse tolerance to mistakes of the new information

    本論文將bp演算法應用於該子系統中,建立了基於bp神經網路的「玻璃瓶口裂紋檢測模型」 ,克服了原演算法對環境變化適應的靈活性和對新信息的容錯性較差的弱點,從而使該檢測系統的自學習、自適應能力大大增強了。
  4. The model ' s intelligentizing management is incorporated by the auto - establishment, the auto - selection and the self - learning of the model

    模型的智能化管理具體表現在模型的自動建立、自動選擇以及自我學習上。
  5. From the viewpoint of system, such the basic theories of the modeling method as system dynamics, learning organization and system thinking are studied on the basis of the analysis of the status quo of management decision - making, as well as relevant model building blocks, modeling methods and modeling steps. taking advantage of modeling platform stella / ithink, some enterprise management decision - making modeling infrastructures are built based on anhui jianghuai automotive co., ltd., which include inventory controlling, manufacturing, pricing, shop controlling and etc. finally, based on the qualitative analysis of the strategy of mark down sale in auto industry the model of the pricing strategy in auto industry is developed, which is based on anhui jianghuai automotive co., ltd. the effects of the strategy of mark down sale are simulated and analyzed quantitatively

    論文在分析國內管理決策現狀的基礎上,從系統的概念出發,研究了系統動力學、學習型組織理論、系統思考等基本理論以及系統動力學方法的建模構件( block ) 、建模原理、方法與步驟;藉助建模平臺stella ithink ,以安徽江淮汽車股份有限公司為原型,設計構建了庫存控制、製造、價格和車間控制等企業管理模型功能子模塊( infrastructure ) ;在定性分析國內汽車行業降價銷售策略的基礎上,設計構建了以安徽江淮汽車股份有限公司為原型的國內汽車行業價格決策模型,該模型圍繞產品價格、交貨提前期、市場份額、利潤、生產能力等關鍵因素,對降價銷售策略帶來的市場運作、生產管理、銷售發貨及庫存控制等過程的變化情況進行了模擬模擬,並通過一定的數據結果定量地說明了降價銷售策略將給企業帶來的結果。
  6. In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space, and change the bandwidth function. then we propose the semantic relevance feedback. the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values

    本文引入顏色自相關圖特徵作為圖像在底層特徵空間相鄰的度量,並修改了框架中帶寬的計算函數,然後引入反饋機制,對于用戶的正反饋和負反饋分別作不同的處理,以便在使用過程中,系統能夠繼續學習,根據反饋更新圖像的概率鏈表,使之逐漸接近真實情況。
  7. As far as the nonstationarity during the long period operation of machinery was concerned, the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied. the relationship between adaline and auto regressive ( ar ) model was analyzed, and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented. the effect of the adaptive learning rate on prediction was also analyzed

    針對生產實踐中設備運行的非平穩性,基於動態預測思想,研究了非平穩時間序列的自適應線性單元( adaline )神經網路預測,討論了adaline和自回歸( ar )模型之間的關系,提出根據ar模型定階方法確定adaline預測模型的輸入神經元數目,分析了自適應學習率對預測性能的影響,為機械設備狀態預測提供了一種方法。
  8. Based on the analysis of the learning theory and instructionual design, we understand the procedure and regulation of learning, recognizing how to improve the learning environments and instructional procedure, so our its could implement on a better pedagogy theory ; presented in xml, the subject knowledge could be more suitable to be manipulated by computer tutor, to develop an individual learning environments. auto - generating paper is a constrained multi - object optimization problem, this paper presents a way based on genetic algorithm ( ga ) to solve the problem, and discuss how to choose an individual coding to improve the efficiency of ga according the problem ; when establishing the student model, we consider the mental factor as well as the cognitive factor

    基於對學習理論和教學設計的分析、總結,了解了人類學習活動的過程和內在規律,以及如何優化學習環境和教學過程,從而使智能教學系統建立在先進的教育理論基礎上;基於xml技術的學科知識表示,使它更便於計算機導師進行加工,形成個性化的學習環境;自動組卷是一個帶約束的多目標優化問題,本文提出通過遺傳演算法來解決,並分析了如何根據實際問題選擇個性化的編碼方案,提高遺傳演算法的效率;在建立學生模型時,除了考廣西大學碩士論文基於web的智能教學系統的研究慮認知因素還考慮了心理因素。
  9. Auto - learning and automatic program generation of open short, pin information, ic clamping diode, testjet technology, diodecheck.

    完整測試統計資料及報表產生,且自動儲存,不因斷電而遺失數據
  10. Due to above problems, this dissertation discussed theory of cognitive map and its application in image analysis and understanding, whose mainly research is on learning of cognitive map, auto - knowledge acquiring of cognitive map and exploring cognitive map applications in image analysis and understanding, expecting to solve some drawbacks in the previous methods of image analysis and understanding

    本文針對認知圖理論及圖像分析與理解中存在的問題,著重對認知圖的學習、知識的自動獲取與模型的擴展這些理論問題進行研究,積極探索如何應用認知圖來解決目前圖像分析與理解方法中存在的某些缺陷。
  11. The paper research the technology of auto - respondent on the uml - based network teaching and learning system. auto - respondent system realize the functions of auto - repondent and design the intelligence - extends model of domain knowledge library

    文中研究了基於xml的網路教學系統的自動答疑技術,自動答疑係統初步實現了自動答疑功能,並提出一個領域知識庫的智能擴充模型。
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