Based on Hopfield model, a weight-connection neural network model is introduced. The optoelectronic demonstration of the model is implemented by adding a connecting weight matrix in front of the Hopfield content-addressable memory matrix. 在Hopfield模型基础上,对具有权重连接的Hopfield模型引入连接权重矩阵,这样只要在Hopfield内容寻址记忆光电阵列前多加一个连接权重矩阵阵列,则得具有权重连接的神经网络模型的光电实现。
As compared to the software-based solutions, the Ternary content-addressable memory can offer sustained throughput and simple system architecture. It is attractive for IPv6 routing lookup. 与基于软件解决方法相比较,TCAM能提供持续吞吐量和简单系统体系,这对IPv6路由查找来说是很有吸引力的。
The relation between arithmetic expressions and capacity of content-addressable memory under data driven environment 数据驱动环境下算术式程序与联想存储器容量的关系
One popular hardware device for performing fast routing lookups and packet classification is a ternary content-addressable memory ( TCAM), and the key to realize routing lookup lies in fast incremental updates. 三重内容可寻址存储器TCAM(ternarycontent-AddressableMemory)是执行快速路由查找的常用硬件设备。
Ternary content-addressable memory ( TCAM) is a simple and high-speed routing lookup engine. The applicability of TCAM is, however, limited by its less storage space and high power consumption. 三态内容寻址存储器(TCAM)是一种简单高速的路由查找引擎,但是TCAM的应用却受制于其较少的存储空间和高功耗。
Content-addressable memory ( CAM) is essentially a hardware-based search engine. 内容可寻址存储器(CAM)本质上是一种硬件搜索引擎。