| 書(shū)目名稱(chēng) | Self-Organization and Associative Memory | | 編輯 | Teuvo Kohonen | | 視頻video | http://file.papertrans.cn/865/864491/864491.mp4 | | 叢書(shū)名稱(chēng) | Springer Series in Information Sciences | | 圖書(shū)封面 |  | | 描述 | Two significant things have happened since the writing of the first edition in 1983. One of them is recent arousal of strong interest in general aspects of "neural computing", or "neural networks", as the previous neural models are nowadays called. The incentive, of course, has been to develop new com- puters. Especially it may have been felt that the so-called fifth-generation computers, based on conventional logic programming, do not yet contain in- formation processing principles of the same type as those encountered in the brain. All new ideas for the "neural computers" are, of course, welcome. On the other hand, it is not very easy to see what kind of restrictions there exist to their implementation. In order to approach this problem systematically, cer- tain lines of thought, disciplines, and criteria should be followed. It is the pur- pose of the added Chapter 9 to reflect upon such problems from a general point of view. Another important thing is a boom of new hardware technologies for dis- tributed associative memories, especially high-density semiconductor circuits, and optical materials and components. The era is very close when the parallel processors can be made all-op | | 出版日期 | Textbook 19882nd edition | | 關(guān)鍵詞 | algorithms; biological; biology; biophysics; classification; cluster; clustering; information processing; in | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-662-00784-6 | | isbn_ebook | 978-3-662-00784-6Series ISSN 0720-678X | | issn_series | 0720-678X | | copyright | Springer-Verlag Berlin Heidelberg 1988 |
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