一种基于RCAM结构的联想记忆器

Journal of Applied Sciences ›› 1998, Vol. 16 ›› Issue (4): 397-402.

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A Novel Associative Memory Based on the Architecture of Recurrent Correlation Associative Memory

WANG BAOYUN¹, HE ZHENYA², YANG LÜ XI²

1. Dept. of Inform. Eng., Nanjing Univ. of Post & Telecomm., Nanjing 210003;
2. Dept. of Radio Eng., Southeast Univ., Nanjing 210096

Received:1996-01-01 Revised:1997-12-09 Online:1998-12-31 Published:1998-12-31

Abstract

Abstract: The main difference between the recall rule of recurrent correlation associative memory and that of Hopfield network is that RCAM operates a nonlinearity upon the correlations between input and stored patterns. In this paper, it proposes to improve the performance of RCAM by truncating the insignificant correlations, produce a novel associative memory based on the architecture of RCAM, noted as TRCAM. The theoretical analysis shows that the method raises the signal-to-noise ratio greatly. The simulations illustrate that this model enjoys a high capacity Back

Key words: associative memory, capacity, error-correcting capability, neural networks

WANG BAOYUN, HE ZHENYA, YANG LÜ XI. A Novel Associative Memory Based on the Architecture of Recurrent Correlation Associative Memory[J]. Journal of Applied Sciences, 1998, 16(4): 397-402.

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URL: https://www.jas.shu.edu.cn/EN/

https://www.jas.shu.edu.cn/EN/Y1998/V16/I4/397

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A Novel Associative Memory Based on the Architecture of Recurrent Correlation Associative Memory

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