associative knowledge 中文意思是什麼

associative knowledge 解釋
聯想性知識
  • associative : adj. 1. 聯合的，連帶的。2. 聯想的。3. 【數學】結合的。
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  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. Bottom - up processing and feature detecting theory based on strong electrophysiological evidences has played a dominant role in the visual research for long time. people know top - down processing just by common sense. knowledge or experience are recalled from memory by reactivation of their neural representations and affected visual processes. however recently, researches from human and monkey provide experimental evidences for top - down processing. first, mnemonic representation of visual objects and faces, located in the ventral processing stream of visual perception in monkey, provide the best evidences of how neuronal codes are created by neurons that have the special ability to link the representations of temporally associated stimuli ; second, experiments suggest that not only bottom - up signals from the retina but also top - down signals from the prefrontal cortex can trigger the retrieval of associative codes, which may serve as a neural basis both for the conscious recall and for the visual processes affected by top - down processing further studies will improve people s understanding of the causal relation of activation and behavior by use of combined fmri and electrophysiology or lesion studies

    聯想性編碼是通過學習由一些具有特殊功能的神經元建立的，這些神經元具有將時間性關聯刺激的表徵聯系起來的能力。其次，不僅來自視網膜的底-頂信號，而且來自前額葉的頂底信號都能觸發聯想性編碼的提取，既可以作為有意識回憶的神經基礎，又是頂-底加工影響視覺過程的基礎。腦損傷病人研究具有高時間解析度的人類功能性核磁共振成像functional magnetic resonance imaging ， fmri和猴fmri研究以及猴細胞電生理分析相結合，將進一步加強人們對視覺腦機制的全面理解。
  3. In the first place psycholinguistic theory and cognitive theory are adopted to account for the nature of language comprehension and language production and the necessity of conducting learning strategy research, then learning strategies are described in the framework of cognitive theory and presented as cognitive skills which begin as declarative knowledge and can become proceduralized through cognitive, associative and autonomous stages of learning

    首先用心理語言學的理論和認知理論解釋語言理解和語言輸出的實質並說明進行學習策略研究的必要性。然後用認知理論分析學習策略，指出學習策略屬於人們的認知技巧，可以通過認知、聯絡和自動無意識三個階段獲得並由陳述性知識變為人們頭腦中的程序性知識。
  4. To solve some existed problems in data mining, the thesis gives out a few resolutions with the new mathematical tool. information theory and multiple statistics are introduced into rough analysis together with rough set theory and other techniques, new results are giving for knowledge discovering, associative rules mining, pattern classification and data cleaning, etc. after a brief summary on data mining and rough set theory, the research works in the thesis can be descript as follows : 1

    Rough集理論是一種新型的處理不確定性知識的數學工具，圍繞著數據挖掘領域存在的問題，本文利用rough集理論與rough分析工具，提出若干解決方案，同時在具體處理問題過程中引入了信息理論、因子分析等方法，與rough分析結合使用，討論了rough集技術在知識發現、關聯規則挖掘、模式分類以及數據清洗等問題中的應用。
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