具有记忆的联想处理器，它基于能对输入信号进行临时求和的类神经元元件;信息结构处理的处理器

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1198970

A. Kharlamov, V. Raevsky

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引用次数: 0

摘要

本文提出了一种具有内存的关联处理器(APM)模型。APM是神经网络的结构单元，由输入信号的时间求和组成。APM实现了输入信息到信号空间的关联映射。这种表示保留了感知空间的拓扑结构。在APM的基础上，可以建立层次结构，对信息进行结构化处理。

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Associative processor with memory based on neuron-like elements capable of temporal summation of input signals: processor for structural processing of information

In the report a model of associative processor with memory (APM) is considered. APM is a structural unit of the network consisting of neuron-like elements (NE) with temporal summation of input signals. APM realizes associative mapping of input information into signal space. This representation preserves the topology of perceptual space. On the basis of APM it is possible to build hierarchical structure for structural processing of the information.

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

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