聯想記憶模型 的英文怎麼說

中文拼音 [liánxiǎngjìyìmóxíng]
聯想記憶模型 英文
associative memory model
  • 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
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 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...
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  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. 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。
  3. 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
  4. 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
  5. Data collected from mengda power plant have been used to train the model. unlike normal direct - method / indirect - method of heat balance, this model computes the boiler efficiency and main parameters needed for control in the boiler ' s operation efficiently by taking the advantage of neural network ' s inherited powerful co - relating ability, memorizing ability and the ability of mapping with nonlinear variables

    此模型不同於傳統的鍋爐效率計算方法（正平衡或反平衡方法） ，而是通過人工神經網路本身具有的強大的聯想功能和記憶功能以及對于非線性變量的映射能力，來計算鍋爐效率和鍋爐運行中需要調節的一些主要參數。
  6. 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。
  7. 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。
  8. 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。
  9. In this paper, the artificial neural networks are considered as a structure set of the neurons. based on this point of view, we make a comprehensive and deep researching on the hopfield model neural network of associative memory with hebbian learning in three aspects, i. e., analyzing, describing and computing of the symmetry of the system, thus discovering the storing mechanism of the hebbian learning rule. which give a deeper understanding to the associative memory mechanism of artificial neural network

    本文將人工神經網路視為神經元的結構集，並從這個基本觀點出發，從三個方面，即對稱性的分析、表示以及計算，對hebb型的離散hopfield模型神經網路進行全面的、深入的研究，揭示了hebb法則這種特殊的存儲規則的機理，並以此來達到加深對整個網路的聯想記憶機理認識的目的。
  10. 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。
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