用于高密度图像模式分类的主动学习增强的非线性细胞自动机

P. Sree¹, Sssn N²
1、Shri Vishnu 女子工程学院计算机科学与工程系
2、贾瓦哈拉尔·尼赫鲁技术大学大学工程学院计算机科学与工程系

摘要

介绍了一种基于非线性元胞自动机财产的高密度图像分类新方法。我们使用一个状态转换，它由一组不相交的树组成，
这些树扎根于单位循环长度的循环状态，从而形成一个自然分类器。所提出的框架通过遗传算法得到加强，以找到作为全局
状态函数的所需的建模局部规则。

关键词

细胞自动机；主动学习（DL）；非线性 CA

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