Classifier Conditions Using Gene Expression Programming

Classifier Conditions Using Gene Expression Programming
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使用基因表达编程的分类器条件

DOI:
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发表时间:
2008
期刊:
International Workshop on Learning Classifier Systems
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通讯作者:
Stewart W. Wilson
Stewart W. Wilson
中科院分区:
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文献类型:
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作者:
Stewart W. Wilson

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分类器系统XCSF被修改为使用基因表达编程来描述分类器条件的进化和功能。其目的是更好地符合环境规则,比传统直线条件下通常可能的情况更好。模拟非线性斜面环境的初步实验表明,这种规律符合得很好。
The classifier system XCSF was modified to use gene expression programming for the evolution and functioning of the classifier conditions. The aim was to fit environmental regularities better than is typically possible with conventional rectilinear conditions. An initial experiment approximating a nonlinear oblique environment showed excellent fit to the regularities.