一种混合遗传算法和遗传算法在手印波斯语字符识别中的特征选择

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI:10.1109/ICICISYS.2010.5658728

R. Azmi, B. Pishgoo, N. Norozi, Maryam Koohzadi, Fahimeh Baesi

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引用次数: 24

摘要

本文提出了一种基于遗传算法和模拟退火算法的混合特征选择技术。该方法通过使用贝叶斯分类器对手印波斯语字符数据集进行评估，该数据集每33个手印字符包含100个样本。通过考虑两个最小和最大阈值，对所得结果进行了模拟退火校正。

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A hybrid GA and SA algorithms for feature selection in recognition of hand-printed Farsi characters

In this research a hybrid feature selection technique based on genetic and simulated annealing algorithms is proposed. this approach is evaluated by using Bayesian classifier on a dataset of hand-printed Farsi characters which includes 100 samples for each 33 hand-printed characters. The acquired results have been improved by correction of Simulated Annealing through considering two minimum and maximum thresholds.

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2010 IEEE International Conference on Intelligent Computing and Intelligent Systems

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