聯系記憶 的英文怎麼說

中文拼音 [liánxìjìyì]
聯系記憶 英文
odour
  • 聯 : Ⅰ動詞（聯結; 聯合） unite; join Ⅱ名詞（對聯） antithetical couplet
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 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
  • 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. Memory is nothing else than a certain concatenation of ideas.

    記憶不是別的，只是一種觀念的聯系。
  2. Along with habituation, which is closely related, spatial memory is another reason why consistency across and within applications is good. people may expect to find similar functionality in similar places

    和與空間性記憶聯系緊密的習慣一樣，它倆都能解釋為什麼貫穿整個程序的一致性是好的。人們可能希望在同一個地方發現相似的功能。
  3. Guided by brand recognition, “ marketing magic cube for school brandtm ” of three - men try to achieve the expected goals by spreading brand culture, stimulating brand imagination, consolidating brand memory, communicating in depth and forming brand loyalty

    在品牌識別的基礎上，通過一系列的營銷活動，傳播品牌文化，激發品牌聯想，加強品牌記憶，建立深度溝通，形成品牌忠誠，達成預計目標。
  4. 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。
  5. In contrast, the computer memory is like a cell of pigeonholes, with no thinking capacity and no connections elsewhere

    相比來說，電腦的記憶就像是文件夾中的一個盒子，沒有思考的能力，也沒有其他的聯系。
  6. Our memories and habits are bound up with the structure of the brain.

    我們的記憶和習慣與腦的構造有密切的聯系。
  7. Then r / s analysis, phase space reconstruction of the system, chaos analysis and fractals analysis are done through matlab program, based on original data of hushen stock markets compositive index from year 1991 to year 2002. and the author draws a conclusion based on original data that china ' s stock market obeys low - dimension fractals and ebb - chaos in terms of the experimentation result : hurst exponents are between 0 and 1, memory cycles are obvious, lyapunov exponents are more than zero and chaotic attractors correlative dimensions are between 2 and 3 in hushen stock markets in this thesis the concept information noises is put forward. stock market information about policy and company of the last ten years is packed up and classified for regulators make decisions in terms of power the factor influences the stock market index

    之後文章以中國股市1991年至2002年上海和深圳綜合指數每日收盤價原始數據為研究對象，在matlab程序實驗條件下，進行了兩地股市系統的r / s分析、系統相空間重構、混沌分析、分形分析；獲取了兩地股市系統的赫斯特指數（滬深股市赫斯特指數均大於0 . 5而小於1 ） 、非周期記憶循環周期（滬深股市都有明顯的記憶循環周期） 、最大李雅普諾夫指數（兩市都大於0 ）和吸引子的關聯維數（兩市都在2到3維之間） ；從而得出中國股市系統是低維分形的、弱混沌的（基於原始數據）結論。
  8. Based on cognition theory and information technology, the paper build a simulated brain model to aid creative design by integrated artificial intelligent, expert system, fuzzy logic, and knowledge mining based on database over internet. the brain model including a memory structure to save information and knowledge, and a thought strategy with some certain levels to guide activities, therefore, the intelligent activities such as learning, problem - solving and creative design could be treated as the process that utility memory in control of thought strategy

    人腦模型體系包括了在思維策略控制下的學習、設計問題解決、創新等活動，並以語義網路與神經網路結合研究並實現了知識記憶結構，在此基礎上研究了產品構成知識的生成技術，使模型可方便實現自學習、自組織、聯想存貯等特性。
  9. “ it has been proposed that all life is connected, but if we accept the premise that all matter and energy in the universe have a real, even if subtle, effect on all other matter and energy in the universe, then it is equally true to say everything is connected - every rock, every atom, every photon, every memory

    「有種說法認為所有生命是普遍聯系的，但如果我們接受以下這個前提：宇宙中的所有物質和能量都對其他的物質和能量存在著確定的的、或至少是細微的影響，那麼這個說法就無比正確：所有事物普通聯系? ?每塊石頭，每個原子，每粒光子，每個記憶。 」
  10. These stronger connections may be the physical basis of what we know as memory

    這些較強的聯系可能就是我們知道的類似於記憶一樣的物質基礎。
  11. 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。
  12. Release of glutamate, a neurotransmitter involved in learning and memory - glutamate enhances the connections between sets of neurons

    在學習和記憶中的神經傳遞素中，谷氨酸鹽的釋放會增強很多神經細胞的聯系。
  13. Elementary occlumency involves clearing the mind of thought and emotion, so that the legilimens can find no emotional ties to memories that the target wishes to conceal

    基礎的大腦封閉術涉及到清空腦海里的思想和情緒，以使攝神取念者不能發現與想要隱藏的記憶有關的情感聯系。
  14. 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。
  15. 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。
  16. 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。
  17. 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。
  18. Therefore, a new type of synthetic intelligent control system is developed by integrating expert system with fuzzy control based on fuzzy associative memory ( fam ), and can be used in the process of continuous carbonization precipitation

    針對這些問題提出了一種實時智能控制方案，將專家系統與基於模糊聯想記憶（ fam ）的模糊控制進行綜合決策，設計成一個集成環境的實時智能控制系統，並應用於碳酸化分解過程的進料流量控制中。
  19. For the high controlled condition for larger nonlinear system, the identification which the classed method is difficult is important. the paper purposed a new associative memory neural network which can replaced system and ready for the request of control. this paper on the basis of fuzzy neural network technique and optimization it ' s parameter can get ideal output

    對于大滯后非線性系統控製品質要就比較高的場合，模型辨識是至關重要的，針對大滯后非線性系統難以用經典方法辨識的原因，模擬人腦記憶事物的過程，本文提出了一種新型聯想記憶神經網路結構，作為建模工具，以再現被控對象的特徵，為控製做好鋪墊。
  20. Nn, one of soft measurement modeling tools having the association & recollection self - learning better fault tolerance prompt response simulation of the high nonlinear system, has its advantage in modeling the nonlinear and time - varying flux of sluice gate. this thesis focuses on the soft measurement modeling based on nn, which solves the problem quite good

    神經網路方法是一種效果較好的軟測量建模方法，具有聯想記憶，自學習，高度容錯，快速處理，能逼近高度復雜的非線性系統的特點，適用於非線性、時變的涵閘水力流量過程建模。
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