A reinforcement-learning approach to color quantization

被引：0

作者：

Chou, CH ^{[1
]}

Su, MC ^{[1
]}

Chang, F ^{[1
]}

Lai, E ^{[1
]}

机构：

[1] Acad Sinica, Inst Informat Sci, Taipei, Taiwan

来源：

Proceedings of the Sixth IASTED International Conference on Intelligent Systems and Control | 2004年

关键词：

color quantization; reinforcement learning; neuro-fuzzy systems; classifier systems;

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：

In this paper, a reinforcement-learning approach is proposed to color image quantization. Fuzzy rules, which select appropriate parameters for the adaptive clustering algorithm applied to color quantization, are built through the reinforcement learning. Experiment examples are tested to demonstrate the performance of the proposed system.

引用

页码：94 / 99

页数：6

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