一种适应模式环境变化的逻辑神经网络

Q4 Computer Science

模式识别与人工智能 Pub Date : 1992-08-30 DOI:10.1109/ICPR.1992.201719

G. Tambouratzis, T. Stonham

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引用次数: 5

摘要

提出了一种在线的无监督训练算法，该算法允许已训练的逻辑神经网络识别物体的类别，以适应环境的变化。该算法使系统能够连续运行，没有过度泛化的危险，并显示出有用的降噪特性。结果表明，它的能力和特点在这一适应任务。并对该算法的自组织特性进行了评价

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A logical neural network that adapts to changes in the pattern environment

An online, unsupervised training algorithm is presented, which allows a logical neural network already trained to identify classes of objects to adapt to changes in the environment. This algorithm enables the system to operate continuously, without danger of overgeneralisation and displays useful noise-reduction properties. Results indicating its capabilities and characteristics in this adaptation task are described. The algorithm's self-organisation characteristics are also evaluated.<>

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来源期刊

模式识别与人工智能 Computer Science-Artificial Intelligence

CiteScore

1.60

自引率

0.00%

发文量

3316

期刊介绍：