信息与熵 Information and Entropy ; MIT Open Course 基于条件信息熵的自主式朴素贝叶斯分类算法 CIEBASLNB 基于信息熵的粗糙集在结构损伤诊断中的应用 The applic...
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图像的信息量与信息熵 Information Content and Entropy
最后论述了信息与序、信息与熵的相互关系。
Finally, it discusses the mutual relations between information and order and that between information and entropy.
相似熵理论对系统演化描述与物理学中的熵及信息熵对系统演化的描述是一致的。
Therefore, the theory of similarity entropy used for exploring the evolution ofsystem is conformable to the information entropy and entropy in physics.
经实验证明,用该方法构造的决策树与传统的基于信息熵方法构造的决策树相比较,复杂性低,且能有效提高分类效果。
The experiments show that, compared with the entropy-based method, our method is simpler in the structure, and can improve the efficiency of classification.
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