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Titlebook: Associative Memory; A System-Theoretical Teuvo Kohonen Book 19771st edition Springer-Verlag Berlin Heidelberg 1977 Memory.cognition.informa

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發(fā)表于 2025-3-21 17:26:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Associative Memory
期刊簡稱A System-Theoretical
影響因子2023Teuvo Kohonen
視頻videohttp://file.papertrans.cn/164/163510/163510.mp4
學(xué)科分類Communication and Cybernetics
圖書封面Titlebook: Associative Memory; A System-Theoretical Teuvo Kohonen Book 19771st edition Springer-Verlag Berlin Heidelberg 1977 Memory.cognition.informa
影響因子About the Scope of This Text This book contains two types of material ~ first, the many divergent and often diffuse meanings given to the concepts of association, associative memory, and associative recaZZ are expounded. A review of this kind was felt necessary because there apparently does not exist any single monograph which could serve as a reference to these topics. But the presentation of the main body of this text is motivated by quite other reasons: in recent years, plenty of interesting mathematical and system-theoretical material has been published which makes it possible to gain a view of associative memory which is different from the conventional abstract and computationally oriented approaches. It seems that the basic operation of associative memory, the storage of information together with the relations or links between the data items, and the selective recall of stored information relative to a piece of key or cue information presented, is not restricted to certain computer-technological implementations but can also be reflected in more general mathematically describable processes in certain physical or other systems, especially in their adaptive state changes. It fur
Pindex Book 19771st edition
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書目名稱Associative Memory影響因子(影響力)




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Communication and Cyberneticshttp://image.papertrans.cn/b/image/163510.jpg
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Stefan Gruner,Apurva Kumar,Tom Maibaumceptual items to be processed, as well as to the connections that obviously exist between them. The principles of the symbolic representation of information in computers may be well-known; it is much less obvious how the connections should be described. One possibility, especially in the representat
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https://doi.org/10.1007/978-3-319-29510-7nsmit; later, learning processes have been discussed on a more abstract algorithmic level, and mathematical statistics has become the general setting of these problems. Nevertheless, in its genuine form machine learning is a physical process.
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Modeling Railway Control Systems in Promelarsued on biological memory, it seems that many central questions concerning its functional and organizational principles have remained unanswered. In view of the theoretical knowledge recently acquired about the information processing principles of adaptive networks, it seems that the experimental r
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