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

摘要：

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 handprinted 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.

关键词： Genetic Algorithm Simulated Annealing pattern recognition feature selection

作者: Reza Azmi Boshra Pishgoo Nargcs Norozi Maryam koohzadi Fahimeh baesi

作者单位: Department Of Computer Alzahra University Tehran, Iran

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 384-387

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）