A PATTERN CLASSIFIER - MODIFIED AFC, AND HANDWRITTEN DIGIT RECOGNITION

被引：0
|
作者：
ZHANG, YT
ITAKAHASHI, H
SHIGETA, K
SHIMIZU, E
机构：
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 1994年 / E77D卷 / 10期
关键词：
AFC ALGORITHM; FUZZY; CLASSIFICATION; NEURAL NETWORKS; HANDWRITTEN DIGIT RECOGNITION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We modified the adaptive fuzzy classification algorithm (AFC), which allows fuzzy clusters to grow to meet the demands of a given task during training. Every fuzzy cluster is defined by a reference vector and a fuzzy cluster radius, and it is represented as a shape of hypersphere in pattern space. Any pattern class is identified by overlapping plural hyperspherical fuzzy clusters so that it is possible to approximate complex decision boundaries among pattern classes. The modified AFC was applied to recognize handwritten digits, and performances were shown compared with other neural networks.
引用
收藏
页码：1179 / 1185
页数：7
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