イナザワ　ヒロシ   INAZAWA Hiroshi
  稲澤　弘志
   所属   人間科学部 都市生活学科
   職種   教授
言語種別 英語
発行・発表の年月 2022/10/08
形態種別 研究論文（学術雑誌）
標題 An associative memory model with very high memory rate: Image storage by sequential addition learning
執筆形態 単著
掲載誌名 arXiv-Cornel University
掲載区分国外
総ページ数 19
著者・共著者 Hiroshi Inazawa
概要 In this paper, we present a neural network system related to about memory and recall that consists of one neuron group (the “cue ball”) and a one-layer neural net (the “recall net”). This system realizes the bidirectional memorization learning between one cue neuron in the cue ball and the neurons in the recall net. It can memorize many patterns and recall these patterns or those that are similar at any time. Furthermore, the patterns are recalled at most the same time. This model’s recall situation seems to resemble human recall of a variety of similar things almost simultaneously when one thing is recalled. It is also possible for additional learning to occur in the system without affecting the patterns memorized in advance. Moreover, the memory rate (the number of memorized patterns / the total number of neurons) is close to 100%; this system’s rate is 0.987. Finally, pattern data constraints become an important aspect of this system.