associative network 中文意思是什麼

associative network 解釋
關聯網路
  • associative : adj. 1. 聯合的，連帶的。2. 聯想的。3. 【數學】結合的。
  • network : n. 1. 網眼織物。2. （鐵路、河道等的）網狀系統，網狀組織，廣播網，電視網，廣播[電視]聯播公司。3. 【無線電】網路，電路。4. 【計算機】電腦網路，網。
  1. 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。
  2. Recurrent associative memory network

    反饋型自聯想記憶神經網路
  3. 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
  4. 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
  5. 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。
  6. 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。
  7. 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。
  8. Whether this pattern of forgetting is seen as the gradual loss of a network of associative bonds or the decay and re - absorption of a schema - structured representation, an orderly loss of information is predicted

    是否這個忘記的樣式看作為一個圖解被構造的表示法的網路結合債券或朽爛和重吸收的逐漸損失，資訊井然損失被預言。
  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。
  11. The paper is divided into three parts. firstly, from chapter one to chapter two the author mainly states the importance of combining the chaos with the neural network in the field of the intelligent message treatment, especially of associative memory

    論文分為三部份，從第一章到第二章詳細論述了混沌與神經網路相結合的方法在智能信息處理特別是聯想記憶中的重要意義，簡述了聯想記憶混沌神經網路的理論基礎。
  12. Based on other research, the author pays his main attention to the feature of associative memory for chaotic neural network and researches ' on the following three aspects : i ) research on the parameter effecting on associative memory properties. ii ) research on the structure effecting on many - to - many associative memory properties. iii ) research on the successive learning ability

    在他人研究基礎上，本論文深入探討了混沌神經網路的聯想記憶特性，著重研究了以下三個方面： （ 1 ）網路參數對聯想記憶特性的影響； （ 2 ）網路結構對多對多聯想的影響； （ 3 ）混沌神經網路的連續學習能力。
  13. It is associative outcome of network and news comment. it is flag and soul of network media

    它是網路這一新興媒體與新聞評論相結合的產物，是網路媒體的旗幟和靈魂。
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