定时脉冲神经系统

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA) Pub Date : 2010-11-29 DOI:10.1109/BICTA.2010.5645192

Hong Peng, Jun Wang, Gexiang Zhang, M. Gheorghe

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引用次数: 3

摘要

本文提出了一类新的用于处理时间信息和表示时间知识的脉冲神经P系统，称为定时脉冲神经P系统。在定时脉冲神经脉冲系统中引入了一种新的放电原理，取代了脉冲神经脉冲系统原有的放电和延迟机制。定时脉冲神经系统能有效表征定性和定量的时间信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Timed spiking neural P systems

In this paper, we present a new class of spiking neural P systems for handling temporal information and representing temporal knowledge, called timed spiking neural P systems. A new firing principle is introduced into the timed spiking neural P systems instead of original firing and delay mechanisms in spiking neural P systems. The timed spiking neural P systems can effectively represent both qualitative and quantitative temporal information.

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来源期刊

2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

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