associative memory 中文意思是什麼

associative memory 解釋
關聯存儲器
  • associative : adj. 1. 聯合的，連帶的。2. 聯想的。3. 【數學】結合的。
  • memory : n. 1. 記憶；記憶力；【自動化】存儲器；信息存儲方式；存儲量。2. 回憶。3. 紀念。4. 死後的名聲，遺芳。5. 追想得起的年限[范圍]。
  1. Fuzzy associative memory pattern classifier, fampc

    傳統的參數活動輪廓模型
  2. Expert system has many merits. it has the ability of heuristic illation, and can explain for illation and append new knowledge in the knowledge database. but it also has obvious shortcomings, such as, poor ablitity in ka ( knowledge achieve ), inefficient and incomprehensive. the artificial neural network has the ablitity of parallel processing, associative memory, distributed storage of knowledge and high robust etc. it also has perfect characteristics of self - organizing, self - adaptive, self - learning. it specializes in visualize ideation but is short of logic ideation

    專家系統在故障診斷領域得到廣泛的應用，專家系統具有許多優點，能利用專家的知識進行啟發式推理，能夠解釋其推理過程，並能夠不斷地、靈活地增加新的知識。但專家系統也存在明顯的缺陷：獲取知識能力差、效率低、范圍窄。可以說專家系統長于邏輯思維缺乏形象思維。
  3. 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。
  4. Recurrent associative memory network

    反饋型自聯想記憶神經網路
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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。
  11. 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。
  12. 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。
  13. Bit - serial associative memory

    位串列相連存儲器
  14. 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。
  15. Bit - parallel associative memory

    位并行相聯存儲器
  16. This paper analyzes the sensitivity to noise in bam bidirectional associative memory, and then proves the noise immunity of bam relates not only to the minimum absolute value of net inputs but also to the variance of weights associated with synapse connections

    雙向聯想記憶網路的進化準鬆弛演算法eprbam雙向聯想記憶網路bam因其結構簡單並且具有和人腦相似的聯想記憶功能而備受關注，並在模式識別領域得到了應用。
  17. This is a deep physical effect of associative memory, which is consonant with the results of stefan reimann by studying the whole dynamical behavior of the associative memory networks, i. e., learning a set of patterns is concerned with finding invariant relations inherent in this set

    這就是聯想記憶網路所蘊含的深層的物理效應。這一點與stefanreimann通過研究網路的整體動力學性質來分析聯想記憶網路所得的結論是相同的。
  18. 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。
  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. Recognition of heart rate variability signal using fuzzy associative memory pattern classifier

    來識別排序相鄰與不相鄰情況的心率變異性
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