聯想記憶 的英文怎麼說

中文拼音 [liánxiǎngjìyì]
聯想記憶 英文
a ociative memory
  • 聯 : Ⅰ動詞（聯結; 聯合） unite; join Ⅱ名詞（對聯） antithetical couplet
  • 想 : 動詞1 （思索） think; ponder 2 （推測; 認為） suppose; reckon; consider; think 3 （希望; 打算） w...
  • 記 : Ⅰ動詞1 （把印象保持在腦子里） remember; bear in mind; commit to memory 2 （記錄; 記載;登記） writ...
  • 憶 : 動詞（回想; 記得） recall; recollect
  • 聯想 : associate; connect in the mind
  • 記憶 : 1 （記住或想起） remember; recall 2 （保持在腦子里的印象） memory 3 [自動化] storage; 記憶符號 mn...
  1. As for the representation of the individuated pattern - base, we introduces a new classification representation method based on multi - users and multi - topics, so as to make each profile only denote one user ' s one topic. this method makes it possible to express explicitly the user ' s interest. as for the creation of the individuated pattern - base, we adopt the hopfield neural network model, which has the function of ample association and remembrance and may be used to associate with the user ' s interest to create the initial individuated pattern - base

    對于個性化模式庫的表示，本文給出了一種多用戶多主題的分類表示方式，使得每個profile文件只表達一個用戶的一個主題，可以更清晰的表達用戶的興趣；對于個性化模式庫的建立，本文採用了機器學習中的hopfield神經網路模型， hopfield網路具有豐富的聯想記憶功能，可以用來對用戶興趣進行聯想，建立用戶的初始個性化模式庫；對于個性化模式庫的維護，採用了基於用戶反饋的學習方法。
  2. The robust serial position effects were founded in the free recall experiment and in the continuous distractor paradigm with chinese character. but in the 30s distractor experiment paradigm, the primacy effect still exited, the recency effect disappeared. and the contextual - retrieval hypothesis failed to explain this phenomenon. according to the contextual cue and memory trace, it is applied successfully that the associative memory and absolute memory to the primacy effect and the recency effect respectively

    以漢字為材料，在即時回憶實驗中表現出明顯的系列位置效應;在30s延遲實驗中，表現出明顯的首因效應，但近因效應消失在連續分心實驗範式中證明長時記憶中存在明顯的系列位置效應。說明現有理論存在的問題，並提出聯想記憶和絕對記憶的概念，成功地解釋首因效應和近因效應性質之差異。
  3. Traditional vacabulary teaching methods consist of spelling teaching method, object teaching method, word - building teaching method, classified - vocabulary - memory method, cicle memory method etc

    聯想記憶單詞是近十幾年我國大陸上新出現的一種英語單詞教學方法。本文介紹了聯想記憶單詞的幾種方法以及課堂上所使用的聯想教學方法。
  4. First we introduce its basic idea, typical activating functions, learning rules and its main application : classification & c1ustering, associated memory and optimiza tion

    我們先簡要介紹了人工神經元網路的基本思想，典型激活函數，學習規則和主要應用：分類聚類，聯想記憶和優化。
  5. On three - dimensional association mnemonics for english words

    試論英語單詞的立體聯想記憶
  6. Recurrent associative memory network

    反饋型自聯想記憶神經網路
  7. Associative memory and segmentation in the network composed of spiking neurons

    脈動型神經元網路的聯想記憶與分割
  8. Decision - making performance of multiple weighted bidirectional associative memory

    多重加權雙向聯想記憶模型及決策性能研究
  9. Influences of perturbations of training pattern pairs on max - product fuzzy associative memory

    乘積型模糊聯想記憶網路的影響
  10. Continuous distractor paradigm ; contextual - retrieval hypothesis ; associative memory ; absolute memory

    連續分心實驗範式關聯提取假說聯想記憶絕對記憶
  11. Rotor fault diagnosis of induction motors based of a dynamic associative memory of chaotic neural network

    基於混沌神經網路動態聯想記憶的電機故障診斷
  12. The properties of fmams are greatly different from those of traditional ams and fuzzy associative memories ( fams )

    Fmam具有與經典聯想記憶和模糊聯想記憶完全不同的特性。
  13. Solving these problems does very much good to the practical application of shape recognition system

    以上問題的解決對應用聯想記憶神經網路形狀識別系統解決實際問題具有很大的意義。
  14. This paper introduces several associating vocabulary - memory methods and the associating teaching methods used in classes

    本文介紹了聯想記憶單詞的幾種方法以及課堂上所使用的聯想教學方法。
  15. Then, a practical approach of software quality evaluation based on this model is given out which uses the network method of nerve and combines the associative memory model with the expert judge and fuzzy appraisal according to the gradient theory. and a program of this approach is compiled using c #. net

    然後，根據梯度理論，應用神經網路方法將聯想記憶模型與專家評判、模糊評價相結合，給出一個基於此模型的軟體質量評價的實用方法，並用c # . net對此評價方法編程實現，最後通過實例來說明此方法。
  16. In this dissertation, we improve on am models closely following the two cores of the am research, learning algorithm and network architecture

    本文緊緊圍繞am研究的兩個核心學習演算法與體系結構對聯想記憶模型展開改進研究。
  17. The paper mainly did the dissemination of error neural network ( bp ) research and gave recommendations on ways to improve bp algorithm. by using better diagnostic techniques with the neural networks legend, memory and reasoning functions and tolerant nature, robustness and good nonlinear, it can better realized the fault

    主要對誤差後向傳播神經網路（ bp ）進行研究，提出了改進的bp演算法，利用神經網路的聯想、記憶和推理功能以及容錯性、魯棒性和很好的非線性映射能力等特點，更好地實現故障診斷。
  18. It also can use to reduce the computing freedoms of the weight matrix in associative memory designing by applying the symmetry relations of the network. regarding the artificial neural network as a dynamical system with symmetry will bring the corresponding geometric approach

    利用這種對稱性關系，既可以揭示「學習就是尋找樣本集對稱性」這一學習的內涵，又可以在聯想記憶網路的分析與設計中減小連接權計算的復雜度。
  19. In industrial the temperature system is classed large nonlinear system. with associative memory neural network as identification and fuzzy neural network as control established model reference adaptive control system, succeeded realized single dealing control. model reference adaptive control system supplied new method for other lager nonlinear system such as flux, stress and fluid system

    溫度控制系統是典型的非線性大滯后控制系統，根據本文提出的聯想記憶神經網路辨識器，與模糊神經網路控制器相結合，建立模型參考自適應控制方案，成功的實現了對單腔電阻加熱爐的控制，模型參考自適應控制方案可以向其它大滯后非線性特性的過程式控制制參量（如流量、壓力、液位等）推廣。
  20. In 1987, since b. kosko defined the ‘ max - min ’ neural networks as the fuzzy associative memories, the research has been attracted many scholar ’ s attention. fuzzy associative memories models integrate the advantages of both fuzzy systems and neural networks in dealing with information

    1987年， kosko提出了基於max - min模糊運算元對的模糊聯想記憶網路，首次有機地將模糊系統與神經網路結合起來，這樣做兼有兩者處理信息的優點。
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