Abstract:
本文提出了一种利用树编辑距离和 AESA 算法进行手写体数字识别的方法,该方法的识别效果接近基于神经网络和支持向量机的手写体数字识别方法,某些情况下甚至要略好于神经网络.
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科技信息(学术版)
ISSN: 1001-9960
Year: 2008
Issue: 25
Page: 11,14
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: 1
Chinese Cited Count:
30 Days PV: 2
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