Double-pattern associative memory neural network with pattern loop
Jian WANG
Zongyuan MAO
摘要：A double-patrern associative memory neural network with "pattern loop" is proposed. It can store 2N bit bipolar binary Patterns up to the order of 22N, retrieve part or all of the stored patrems which all have the minimum Hamming distance with input Pattern, completely eliminate spurious Patterns, and has higher storing efficiency and reliability than conventional associative memory. The length of a Pattern stored in this associative memory can be easily extended from 2N to kN.
机标关键词：neural networkassociative memoryHamming distance
分类号：O1(数学)
论文发表日期：2004-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：3( 193-195 )
英文信息