摘要
传统的二层联想存贮器具有有限的存贮能力和缺乏非线性映射能力，本文将通过存贮结构的扩展，获得极高的联想性能和非线性映射能力，通过信噪比分析证实了所提模型的优越性。
The traditional two-layer associative memory has limited storaye ability without nonlinear mapping ability. Ultra-high associative performance and nonlimear mapping ability will be obtain through expending storage structure. and advantages of provided model can be qualify by analysis of signal to noise ratio.
出处
《微电子学与计算机》
CSCD
北大核心
1998年第1期26-28,共3页
Microelectronics & Computer
基金
江苏省自然科学基金
"攀登计划"资助
关键词
联想存储模型
相关编码
存储器
Associative memory, Nonlinear mapping, Neural net, Expansion, Signal to noise ratio (S/N)
