模糊艺术神经网络模型及其应用

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2009-12-28 DOI:10.1109/ICICISYS.2009.5357895

M. Gu

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引用次数: 0

摘要

设计并实现了基于模糊ART神经网络的模型。它可以同时处理在线学习和识别已知和未知的面孔。仿真实验结果表明，选择合适的网络参数，在线识别率最高可达91.25%。采用AT&T耶鲁人脸数据库[1]中40人的400张图像进行模拟实验。

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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Fuzzy art neural network model and its application

The model based on fuzzy ART neural network is designed and realized. It can deal with online learning and recognition of the known and unknown faces at the same time. The simulation experiment results show an online maximum recognition rate is 91.25% when the proper network parameters are selected. 400 images of 40 persons in the AT&T Yale face database[1] are used for simulation experiment.

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2009 IEEE International Conference on Intelligent Computing and Intelligent Systems

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