一种利用联想神经网络进行模式识别的细胞系统

1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI:10.1109/CNNA.1998.685353

C. Orovas, J. Austin

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引用次数: 16

摘要

提出了一种用于模式识别的元胞系统。这些细胞被放置在一个二维数组中，它们能够执行基本的符号处理和交换有关其状态的信息。在类似元胞自动机的操作之后，系统的目标是将模式的初始符号描述转换为相应的对象级表示。为此，采用了一种描述模式结构的分层方法。该系统的底层处理引擎是联想记忆的AURA模型。该系统被赋予了一种利用体系结构的分布式特性的学习机制。还可以使用专用硬件平台。

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A cellular system for pattern recognition using associative neural networks

A cellular system for pattern recognition is presented. The cells are placed in a two dimensional array and they are capable of performing basic symbolic processing and exchanging messages about their state. Following a cellular automata like operation the aim of the system is to transform an initial symbolic description of a pattern to a correspondent object level representation. To this end, a hierarchical approach for the description of the structure of the patterns is followed. The underlying processing engine of the system is the AURA model of associative memory. The system is endowed with a learning mechanism utilizing the distributed nature of the architecture. A dedicated hardware platform is also available.

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来源期刊

1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)

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