首页> 外文期刊>Neural Networks: The Official Journal of the International Neural Network Society >Capacity analysis for a two-level decoupled Hamming network for associative memory under a noisy environment.
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Capacity analysis for a two-level decoupled Hamming network for associative memory under a noisy environment.

机译:嘈杂环境下两级解耦汉明网络用于关联存储器的容量分析。

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摘要

Our detailed analysis has established that in addition to the advantages of computationally efficiency and easy hardware implementation, the two-level decoupled Hamming network possesses a substantially higher capacity over the single-level Hamming associative memory since the effect caused by Ikeda et al.'s uniform random noise [Ikeda, N., Watta, P., Artiklar, M., & Hassoun, M. (2001). A two-level Hamming network for high performance associative memory. Neural Networks, 14(9), 1189-1200] is much smaller than that caused by the practically more prevalent concentrated noise. We therefore conclude that the two-level decoupled Hamming network with middle-sized windows should be an elegant associative memory model in all the senses of efficiency, hardware implementation and capacity.
机译:我们的详细分析已经确定,除了计算效率高和易于硬件实现的优点外,由于Ikeda等人的影响,两级解耦汉明网络比单级汉明关联存储器具有更高的容量。均匀随机噪声[Ikeda,N.,Watta,P.,Artiklar,M.,&Hassoun,M.(2001)。用于高性能关联存储器的两级汉明网络。神经网络,第14卷第9期,第1189-1200页]比实际上更为普遍的集中噪声引起的噪声小得多。因此,我们得出结论,从效率,硬件实现和容量的所有方面来看,带有中型窗口的两级解耦汉明网络应该是一个优雅的关联存储模型。

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